Category Archives: Neurotechnology

TORONTO--(BUSINESS WIRE)--Muse by Interaxon Inc., a leading consumer neurotechnology and meditation company, appoints neuroscientist and digital medicine expert Walter Greenleaf as Chief Science Officer. In his role, Dr. Greenleaf will be aiding in new research, efficacy, and validation initiatives of the companys current and future products and services. Greenleaf will be responsible for aligning the companys scientific and technological capabilities with viable market opportunities and paths to market while providing key guidance on emerging regulatory affairs. Playing a pivotal role in guiding external research initiatives and forging strategic partnerships, Greenleaf will continue to build on Interaxons credibility within the neuroscience community.

Walter brings tremendous knowledge and experience to Interaxon. We are humbled to have him join our team, says Derek Luke, CEO. Knowing Walter will be providing deeper support to our expanding worldwide research partnerships makes for a truly exciting new chapter for our community as we further advance our digital diagnostics and therapeutics strategy.

Dr. Greenleaf currently holds academic positions as the Medical VR/AR Expert at the Stanford Virtual Human Interaction Lab and as a MediaX Distinguished Visiting Scholar, both at Stanford University. He also serves as the Director of Technology Strategy for the National Mental Health Innovation Center at the University of Colorado. Walter has served as a scientific advisor and grant reviewer for the U.S. Public Health Service, National Science Foundation (NSF), National Institutes of Health (NIH), NASA and the U.S. Department of Education. He has served as a Principal Investigator for research grants funded by NIH and NASA. He previously served as the Director of the Mind Division, Stanford Center on Longevity, where his focus was on age-related changes in cognition Dr. Greenleaf helped start the California State University Center for Disability Solutions and serves as Board Chair for the International Virtual Reality Health Association (IVRHA).

"Im excited to be working with the team at Interaxon to help move digital health technology forward. This is a pivotal time in the evolution of healthcare -- medical product developers must work at full speed and with focused attention to improve the way we provide clinical assessments and medical therapies, or our over-strained healthcare system will not evolve to match the growing demand, says Dr. Greenleaf. The team at Interaxon has developed an extremely sophisticated multi-sensor medical wearable system. Developing next-generation medical products is key to addressing several challenges that our society is facing - the current pandemic of course, but also the looming problems generated by an aging population and the associated burden on our healthcare infrastructure. I look forward to working with the Interaxon team as we evolve digital health technology and develop new products to improve clinical care and promote individual health and wellness."

Dr. Greenleaf earned a Doctorate in Neuro and Bio-Behavioral Sciences from the Stanford University School of Medicine, where he was awarded an NIMH Graduate Fellowship. Having helped bring a number of products to market with over three decades of research and development experience in the field of digital medicine and medical virtual reality technology, Greenleaf is well situated on the Interaxon team as they continue to move into new applications of health technology leveraging their award-winning advanced EEG systems.

About Muse by Interaxon Inc.:

At Muse, our team of neuroscientists, meditation teachers, and engineers develop state-of-the-art experiences using research-grade EEG technology. Our goal is to help individuals build a rewarding meditation and sleep practice to live healthier, happier, more connected lives through human-centered technology. Our award-winning neurofeedback devices, and premium content offering of guided meditations with responsive learning functionality, help users meditate and improve sleep hygiene by providing real-time audio feedback on their meditative state through the Muse companion app. We make the intangible, tangible.

More information about Muse is available at http://www.choosemuse.com.

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Muse by Interaxon Appoints Walter Greenleaf as Chief Science Officer - Business Wire

TED Senior Fellows Greg Gage and Sarah Sandman share original ideas for automated vehicles that prioritize the needs of the driver.

As all manufacturers try to figure out automated driving, Lexus wanted to think outside the box, and thus brought in some big thinkers from the TED Fellows program who areknown to be good at that sort of thing. TED Senior Fellows neuroscientist and engineer Greg Gage and artist Sarah Sandman each presented their designs for Human Centric automated vehicles along with two short films covering their ideas: Predicting Human Needs with Neuroscientist Greg Gage and Building Community with Artist Sarah Sandman".

As might be expected from a neuroscientist, Gage believes automated vehicles and long commutes provide the perfect environment for neurotechnology to create a brain-car interface that allows the automobile to be integrated directly into how the driver feels. By recording a range of human signals, from human EKG to face microgestures.

Gage envisions that Lexus could create a profile of a persons mood and use it to change the ambience of the car. Sleepy? The car will change the lights and seating position. Relaxed? The car will cue up a chill playlist. Stressed? The radio is silenced and lights up. If current cars can monitor engine temperature, oil pressure, and engine speed, then a human-inspired car could monitor the human and respond accordingly.

RELATED:Lexus ES Vs GS: The Pros And Cons

Sandman was focused on the idea of a future where the vehicle tries to dissuade drivers/ riders who could be even more focused on our phones and digital devises than we are already. Thus, she imagines a vehicle that reduces our isolation from the outside world with 360-windows, fully rotational seats, and a speaker system for interaction with cyclists or pedestrians. Taking this idea even further, she imagines a chalk-writing system to leave custom art or messages in the street.

To increase quality time with passengers, the interior would mimic a cozy cafe with a digital fireplace, pillows, and a terrarium-like ceiling. Sandman also proposes a cooperative ownership model that increases affordability and makes for a more inclusive, meaningful future.

Difficult as it is to see how either of these approaches can apply to actual Lexus models, both sides feel energized by the project. Says Shoham Arad, Director of the TED Fellows program, TEDs partnership with Lexus highlights the essence of what the TED Fellows program stands for curiosity, new ideas, and building a world together that we all want to live in. We are excited to see the imaginative work of TED Fellows come to life through this TED + Lexus virtual conversation, fun discovery session and spotlight films. What does the future of human-centered design look like? Even in an automated universe? Watch to find out.

From the Lexus side, Lisa Materazzo, Vice President of Lexus marketing, stated: Focusing on what makes people tick, especially when behind the wheel, has always been central to Lexus design. Partnering with TED has allowed us to explore new human-centric ideas for an automated future with visionary experts in their fields.

To learn more about the partnership between Lexus and the TED Fellows program, visit http://www.lexus.com/curiosity/TED.

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Lexus Partners With TED To Contemplate The Future Of Automated Vehicles - HotCars

Image Recognition Market research report studies comprehensive evaluation of the market growth predictions and restrictions with respect to ICT industry. Market shares of key players in the major areas of the globe such as Europe, North America, Asia Pacific, South America, Middle East and Africa is also studied in this market analysis report. An analytical assessment of the competitors gives clear idea of the most important challenges faced by them in the current market and in the coming years. Thoroughly analysed market segmentation aspect provides a clear idea about the product consumption based on several factors ranging from type, application, deployment model, end user to geographical region.

An international Image Recognition market report endows with the data and statistics on the current state of the industry which directs companies and investors interested in this market. The most appropriate, unique, and creditable global market research report has been brought to important customers and clients depending upon their specific business needs. By applying market intelligence for this market research report, industry expert measure strategic options, summarize successful action plans and support companies with critical bottom-line decisions. Because businesses can accomplish great benefits with the different and all-inclusive segments covered in the market research report, every bit of market that can be included here is tackled carefully.

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Prominent Key Players Covered in the Image Recognition report:

Few Of The Major Competitors Currently Working In The Global Image Recognition Market Are Qualcomm Technologies, Inc., Nec Corporation, Google., Ltutech, Catchoom, Honeywell International Inc, Hitachi, Ltd., Wikitude Gmbh, Slyce, Attrasoft, Inc., Jastec Co. Ltd., Apple Inc., Facebook, Twitter, Idemia, Gemalto Nv, Ayonix Face Technologies, Cognitec Systems Gmbh, Aware, Inc., Daon, Neurotechnology, Herta Security, Keylemon Ind. Among Others.

Market Analysis: Image Recognition Market Report

Global Image Recognition Market Is Set To Witness A Healthy Cagr Of 22.25% In The Forecast Period Of 2019 To 2026. The Report Contains Data Of The Base Year 2018 And Historic Year 2017. This Rise In The Market Value Can Be Attributed Due To Increasing Demand Of Image Recognition Technologies And Applications In Gaming Consoles And Mobile Computing Devices.

Important years considered in the Image Recognition study are:

Historical year 2014-2019

Base year 2020

Forecast period- 2020 to 2026

If opting for the Global version of Image Recognition Market analysis is provided for major regions as follows:

Scope of the Image Recognition Market Report

This report consists of all the requirements for the analysis of theImage Recognition Marketstudy. Moreover, it provides a comprehensive market estimate from secondary research, primary interviews, and in-house expert reviews. These market estimates have been used to impact social, economic, and political factors, along with the trending market dynamics that hinder the growth of Valve Driver Market.

Table of Content: Image Recognition Market Report

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COVID-19 Impact Analysis:

The report seeks to track the evolution of the market growth pathways and publish a medical crisis in an exclusive section publishing an analysis of the impact of COVID-19 on the market. The new analysis of the COVID-19 pandemic provides a clear assessment of the impact on the market and the expected volatility of the market during the forecast period. Various factors that can affect the general dynamics of the market during the forecast period (2020-2026), including current trends, growth opportunities, limiting factors, etc., are discussed in detail in this market research.

How Does This Image Recognition Market Insights Help?

Aside from the market overviews, there have been market dynamics that consist of ;/Porters Five Force analysis, which explains the five forces. The forces are buyers bargaining power, suppliers bargaining power, intimidations by the new entrants, threats by the new substitutes as well as the levels of competition in theImage Recognition Market.

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Image Recognition Market Analysis With Key Players, Applications, Trends And Forecasts 2026 Qualcomm Technologies, Inc., Nec Corporation, Google.,...

MEDICAL technology company Stryker has said it is investigating an incident in which one of its Limerick employees was hospitalised earlier today.

Stryker is one of the worlds leading med-tech companies manufacturing products and services in orthopaedics, medical and surgical, neurotechnology and spine, to help improve patient outcomes.

The companys Limerick plant is located in the Raheen Business Park, and is predominately responsible for manufacturing orthopaedic knees and bone cement.

A Stryker spokesman said: Were currently conducting an investigation into the cause of the incident.

A female employee was taken to hospital however, details of what occurred remain sketchy.

The company has been asked for further details.

Four units of the Limerick City and County Fire and Rescue Service responded to the incident.

Firefighters received the alert at 2.07pm and had returned to their base in Limerick city at 4.14pm.

Early afternoon today we were made aware of an incident at our Limerick facility that impacted one employee. She wassent to the hospital for observation, but has been released and has returned to our facility, the Stryker spokesman said.

Were committed to a safe and healthy work environment for our employee, they added.

Strykers innovation centre, in Cork, recently developed a European compliant face shield to help meet the needs of local hospitals in the fight against Covid-19.

Stryker, which has bases in Limerick, Cork and Belfast, employs 40,000 people worldwide.

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Stryker investigating incident which led to Limerick employee going to hospital - Limerick Post

The report mainly examines the size, recent trends and development status of the Facial Recognition market, as well as investment opportunities, government policies, market dynamics (factors, constraints, opportunities), supply chain and competitive environment. Technological innovation and development will further optimize product performance, making it more widely used in subsequent applications. This report identifies additional transactions for key geographic segments of the global Facial Recognition market and provides detailed information on current and past stocks. Current trends, future challenges, future improvements in investment in the region and many other factors were reviewed and proposed.

The report on global Facial Recognition market, is a comprehensive overview of different aspects based on various parameters, such as production base, distribution channel, and potential customers. The key players in market include different regions. Moreover, it uses effective analytical methodologies, which focuses on each and every stage of the businesses. To identify the strengths and weaknesses, SWOT analysis is used. Finally, it focuses on recent developments, and upcoming innovations to connection the gap.

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The report also covers competitive developments, such as long-term contracts, new product launches and developments, and research & development activities being carried out various leading players such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information in this market. It also provides information regarding various business and corporate strategies adopted by key players to strengthen their position in this market. In a word, the report provides major statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

These big players have adopted a variety of organic and inorganic growth strategies such as mergers and acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

The Major Manufacturers Covered in this Report:

NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH, Gemalto NV, Animetrics, Daon, Id3 Technologies, Idemia, Innovatrics, Megvii, Neurotechnology, NVISO SA, StereoVision Imaging, Inc., Techno Brain Group, etc.

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The report is intended to include both qualitative and quantitative aspects of the industry in each of the regions and countries surveyed. In addition, the report also details critical aspects such as the driving forces and challenges that will shape future market growth. In addition, the report should also include available opportunities in Facial Recognition markets that stakeholders can invest in, as well as a detailed analysis of the competitive landscape and product offerings of key players. A detailed description of the market segments and sub-segments is provided below:

Facial Recognition Market Segmentation

Type Analysis of Facial Recognition Market:

by Technology (2D facial recognition, 3D facial recognition, facial analytics recognition), Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Applications Analysis of Facial Recognition Market:

By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Facial Recognition market research was conducted in five phases, which included secondary research, primary research, consultation with a subject matter expert, quality assurance, and final review. Market data has been analyzed and forecasts made using market statistics and understandable models. Market shares and key trends were also taken into account when preparing the report. In addition, other data models include supplier positioning grid, market timeline analysis, market overview and leadership, company positioning grid, company market share analysis, measurement standards, top-down analysis, and supplier share analysis.

Our report offers:

1. Assessment of market share for segments of regional and national level.2. Analysis of the market share of the leading players in the industry.3. Strategic recommendations for new entrants.4. Market forecasts for at least 9 years for all mentioned segments, sub-segments and regional markets.5. Market trends (driving forces, constraints, opportunities, threats, challenges, investment opportunities and recommendations).6. Strategic recommendations in key business segments based on market estimates.7. Competitive landscaping, reflecting major general trends.8. Company profiling with detailed strategies, financial data and latest events.9. Supply chain trends reflecting the latest technological advances.

In addition to the above, Facial Recognition Market Information is based on key players, partners and their market revenues from 2020 to 2025. This information includes data from global, regional and specific players that are currently making the Facial Recognition market fragmented. Marketing research has also been conducted at different levels of research, which looked at industry trends and profiles of different companies to identify market drivers, constraints, challenges and opportunities. Another area of Facial Recognition reporting is product sales, revenue, and product categories that are in the highest demand.

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Full access to global Facial Recognition market size, growth rate and forecast to 2025. Detailed quantitative information on key regional Facial Recognition markets, including North America, Europe, MEA and Asia Pacific. Estimates and forecasts of the global Facial Recognition market for key products / applications on a regional basis Ability to obtain country-level information for complete segmentation of the global Facial Recognition market. Key trends, driving forces and limitations of the global Facial Recognition market. Market growth challenges for Facial Recognition producers. Key Market Opportunities Global Facial Recognition Industry

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Facial Recognition Market 2020 Trends, Manufacturing Size, Growth Analysis by Share, Top Regions, Driving Factors of Manufacturers, Types and...

The global Facial Recognition Technology Market Size study report with COVID-19 impact is considered to be an extremely knowledgeable and in-depth evaluation of the present industrial conditions, along with the overall size of the Facial Recognition Technology Market, estimated from 2020 to 2028. The research report provides a detailed overview of the leading industry initiatives, potential market share of Facial Recognition Technology, and business-oriented planning, etc.

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Facial Recognition Technology

The study discusses favorable factors related to the current industrial conditions, levels of growth of the Facial Recognition Technology Market, demands, differentiable business-oriented approaches used by the manufacturers of the Facial Recognition Technology Market in brief about distinct tactics and futuristic prospects.

The report gathers insights on Technical Data and manufacturing plants and offers an analysis after classifying the market by capacity, Manufacturing Plants Distribution, Technology, Commercial Production, Raw Materials Sources Analysis, and R&D Status. The global Facial Recognition Technology Market overview includes Growth Rate, Capacity, Sales Price Analysis, Sales Analysis, and Gross Margin Analysis.

The Major Players Covered in this Facial Recognition Technology Market Report are:: NEC Corporation, Aware, Gemalto, Ayonix Face Technologies, Cognitec Systems GmbH, NVISO SA, Daon, StereoVision Imaging, Techno Brain, Neurotechnology, Innovatrics, id3 Technologies, IDEMIA, Animetrics, MEGVII, Idemia, Gemalto NV, Ayonix Corporation, Herta Security, Keylemon SA., Cross Match Technologies, ZK Software, Safran Group (Morpho S.A.), FaceFirst LLC, 3M Cogent Inc., and Animetrics Inc.

The key trends in each sub-segment of the global Facial Recognition Technology Market, along with forecasts for growth at the global, regional, and country level from 2020-2028. The Facial Recognition Technology Market report is categorized in the market study based on region, : By Technology (2D Facial Recognition, 3D Facial Recognition, and Facial Analytics), By Component (Software, Hardware, and Services), By Application (Law Enforcement, Border Security, Emotion Recognition, Attendance Tracking & Monitoring, Access Control, Homeland Security, Criminal Investigation, Identity Management, Physical Security, Intelligent Signage, Photo Indexing & Sorting, Business Intelligence, and Others), By End User (Government, Medical & Healthcare, Commercial, Military & Defense, and Others).

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Key Questions Answered in This Facial Recognition Technology Market Report

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Facial Recognition Technology Market 2020 Trends Analysis and Coronavirus (COVID-19) Effect Analysis | KEY PLAYERS MARKET WITH COVID-19 Impact...

North America, Europe, China, Japan, Rest of the World: The Global Facial Recognition Market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

The report includes CAGR, market shares, sales, gross margin, value, volume, and other vital market figures that give an exact picture of the growth of the global Facial Recognition market.

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Facial Recognition competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Facial Recognition sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Facial Recognition sales, revenue and market share for each player covered in this report.

The major players profiled in this report include: Aware, NEC, Ayonix, Cognitec Systems, Keylemon, Nviso, Herta Security, Neurotechnology, Daon, Animetrics, Gemalto,

Regional analysis is another highly comprehensive part of the research and analysis study of the global Facial Recognition market presented in the report. This section sheds light on the sales growth of different regional and country-level Facial Recognition markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Facial Recognition market.

The report offers in-depth assessment of the growth and other aspects of the Facial Recognition market in important countries (regions), including

* North America (United States, Canada and Mexico)

* Europe (Germany, France, UK, Russia and Italy)

* Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

* South America (Brazil, Argentina, etc.)

* Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)

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Key Factors Involved In the Report:

-Global Facial Recognition market size by regions, type, and application, with sales and revenue

-Market trend for development and marketing channels are analyzed

-Market share accrued by each product in the market, along with the production growth

-Market forecast by regions and countries from 2020 to 2026 of industry

-The feasibility of new investment projects is assessed, and overall research conclusions offered.

Key questions answered in the report:

What is the growth potential of the Facial Recognition market?

Which product segment will grab a lions share?

Which regional market will emerge as a frontrunner in the coming years?

Which application segment will grow at a robust rate?

What are the growth opportunities that may emerge in the Facial Recognition industry in the years to come?

What are the key challenges that the global Facial Recognition market may face in the future?

Which are the leading companies in the global Facial Recognition market?

Which are the key trends positively impacting the market growth?

Which are the growth strategies considered by the players to sustain hold in the global Facial Recognition market?

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Facial Recognition Market Trend, COVID-19 Impact, Current Industry Figures With Demand By Countries And Future Growth 2026 - TechnoWeekly

Newswise For people with chronic insomnia, a good nights sleep is elusive. But what if insomnia symptoms could be alleviated by simply listening to ones own brainwaves?

Researchers at Wake Forest Baptist Health conducted a clinical trial that showed reduced insomnia symptoms and improved autonomic nervous system function using a closed-loop, acoustic stimulation neurotechnology. The study is published in the September 17 online edition of the journal Brain and Behavior.

High-resolution, relational, resonance-based electroencephalic mirroring (HIRREM) uses scalp sensors to monitor brainwaves and software algorithms to translate specific frequencies into audible tones of varying pitch in real time.

These tones linked to brainwaves are echoed back instantaneously via ear buds. This allows the brain a chance to listen to itself, to look at itself in an acoustic mirror.

Sleep is foundational for optimal health, healing and well-being, said principal investigator Charles H. Tegeler, M.D., chair of neurology at Wake Forest School of Medicine, part of Wake Forest Baptist Health.

HIRREM is a unique non-drug, noninvasive, acoustic neuromodulation intervention that supports the brain to balance and quiet itself. Our results show durable benefit for both reduced symptoms of insomnia and significantly improved objective measures of autonomic function.

HIRREM technology supports the brain to self-adjust, to reset from what may have become stuck trauma and stress patterns, believed to contribute to insomnia, Tegeler said. The brain pattern is observed to shift toward improved balance and reduced hyperarousal with no conscious, cognitive activity required.

According to the American Academy of Sleep Medicine, about 30 to 35% of Americans have experienced insomnia, which can reduce life expectancy and increase the risk of cardiovascular events, obesity, diabetes and other illnesses.

The study included 107 adult men and women with moderate to severe insomnia. Approximately half received the HIRREM intervention, and the placebo group received an active intervention of random tones. All participants kept a daily sleep diary, and each received 10, 60-minute intervention sessions (either HIRREM or placebo), over a three-week period.

In the study, changes were recorded on the Insomnia Severity Index (ISI), a self-reporting instrument to assess insomnia symptoms. Researchers also recorded heart rate and blood pressure to objectively analyze autonomic cardiovascular regulation.

After completion of the intervention sessions and at follow-up visits up to four months later, subjects in the HIRREM group reported clinically meaningful reductions for insomnia symptoms. Four months following the intervention, 78% of those receiving HIRREM reported no significant insomnia symptoms. They also showed significant, durable improvements in autonomic function across multiple objective measures of heart rate variability (HRV) and baroreflex sensitivity (BRS) compared to those who received random tones. HRV is a powerful biometric that reflects the health of the autonomic nervous system, and BRS measures blood pressure regulation.

In this study, the HIRREM participants were five times more likely than placebo to have improvement in their HRV measured as rMSSD by more than 50%. They were also twice as likely to have improved BRS by more than 50% compared to placebo.

These changes may lead to long-term improvement in the cardiovascular health of the participants, Tegeler said. There were no serious adverse events, and less than 6% of study participants dropped out.

These findings add to the rapidly growing interest in neuromodulation and demonstrate that a brief intervention with closed-loop acoustic stimulation can improve sleep in a meaningful way, while also improving autonomic function, Tegeler said. Its an important alternative approach for people who suffer from insomnia.

This study was supported by a research grant from The Susanne Marcus Collins Foundation, Inc.

HIRREM, the legacy technology of Cereset, was developed and licensed by Brain State Technologies of Scottsdale, Ariz.

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Reduction in Insomnia Symptoms Associated with Non-invasive Neurotechnology - Newswise

Sarah Breinbauer

A new project that forms a data visualization of brain signals in clothing has recently been showcased at thevirtual Ars Electronica festival.

The robotic dress is coupled to 1,024 channels of a BCI (Brain-Computer Interface) and has 64 outputs for light and movement. The Pangolin Scales' dress components function like animatronic elements that move and light up based on the recordings of the brain waves.

The project originated at the Institute for integrated circuits at JKU (Johannes Kepler University, Linz, Austria), in collaboration with the Austrian Neurotechnology company G.tec.

Christoph Guger at the Neuroscience/Neurotechnology department at G.tec explained how these BCI's measure brain activity, using sensors placed on the head, which control devices in real-time depending on your thoughts;

"If someone imagines a hand movement, then that movement can be understood using sensors on the upper region of the brain. The technology then produces a control signal that allows you for example to control a prosthetic arm or to control any (human-like) avatar.

By using your thoughts you can move the avatar forward (left right - forward etc.) or use your prosthetic arm after you made the mental decision that you wanted to pick up a cup of coffee."

G.tec's neurotechnology developers designed the hardware components and assemble the electrodes directly on to the head. The shape and size of the components mean that 1,024 channels can be placed on to the head to give far greater resolution than previous versions.

Guger continues:

"In hospitals or research centers, people can wear 64 of these channels so the distance between the sensors is pretty big. This allows us to figure out if the person is lifting their left or right arm, but that's it.

With 1024 channels we can discriminate single fingers from each other. So the technology can recognize if the person moves their pinkie finger or the index finger. This is something you cannot do with a standard EEG system which is nowadays used in research and in hospitals."

The dress was designed by Dutch designer and innovatorAnouk Wipprecht, who works in the emerging field of FashionTech. This combines fashion design with engineering, robotics, science, and interaction/user experience design to make fashion an experience that transcends appearances.

The dress that has 64 actuators (scales) that move and light up. The BCI output can modulate the movement and the rotation of the scales and how they light and interact. So whatever is calibrated into the brain-computer interface can be recognized afterward.

So, in understanding how the EEG of every single action works, the BCI can be calibrated to produce real-time activity of what the brain is doing and control the actions in the dress.

There are 64 PCBs on the head each with 16 sensors (to reach 1,024 channels). These 64 outputs translate the received signals from the brain and visualize this data through light and movement provided by 32 LEDs and 32 small servo motors, making 64 actuators within the dress.

This results in a dress with a mechanism that functions like animatronic elements, based on pangolin scales, which move and light up based on the recordings of the brain waves.

Thomas Faseth of JKU (Johannes Kepler University Linz), where the project originated, said:

"Future applications of the project allow full wireless operation made possible by know-how of the Institute for Integrated Circuits at JKU Linz."

Guger added:

"The brain decodes information in very specific places. Faces, color, shapes, are decoded in certain areas, and art is activating a lot of them.

BCI technology allows us to explore unconsciousness things of the brain in real-time and this leads to astonishing results. Fascinating about the brain is that so many regions are unexplored and with newest high-resolution technology we can find new interesting functions."

This is only a prototype of course, but this technology has many more functions as the relationship between the body and technology grows closer than ever.

Designers, artists, scientists, and engineers started to combine their practices at the beginning of this century, and electronics are being tightly woven into the fabric of our physical world.

As Wipprecht said:

"Electronic systems can now be layered seamlessly onto a material or substrate such as plastic or polyester. Embedded processors and sensors for transmitting and receiving information create a vision of cultural transformation that is both exciting and disturbing."

See more here:

Your thoughts can be displayed on this cyborg garment - ZDNet

The report on global Facial Recognition market 2020-25 is a systematic compilation, lending in crucial understanding and insights touching upon various parameters of the market such as market share, segment analysis, geographical distribution as well as vendor assessment to ensure profit driven business decisions in global Facial Recognition market.

Acknowledge the Global Facial Recognition market with the assist of our expert analyst moderating the worldwide fluctuations. This market report will answer all your queries regarding growth of your business in this Covid-19 pandemic.

The key players studied in the report include:

NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH, Gemalto NV, Animetrics, Daon, Id3 Technologies, Idemia, Innovatrics, Megvii, Neurotechnology, NVISO SA, StereoVision Imaging, Inc., Techno Brain Group, etc.

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COVID-19 Specific Analysis: Global Facial Recognition Market

This elaborate presentation on global Facial Recognition market also incorporates excerpts from the COVID-19 pre and post assessment that have imposed massive alterations in market dynamics spectrum. The report is designed to align with reader preferences to emerge from the downward growth trail. A close review of all-important factors and developments concurrent in global Facial Recognition market have been closely reviewed in this section to enable novel investment decisions.

Post recurrent primary and secondary research endeavors by our in-house expert researchers, the global Facial Recognition market is anticipated to nail a moderately decent growth with a valuation of xx million US dollars in 2020. Further, research also suggests growth probability of xx million USD through the forecast span, 2020-27, clocking in a healthy CAGR of xx% during this period.

Sectional Representation: Global Facial Recognition Market

* In-depth analysis of leading market manufacturers, complete with their product and service portfolios along with details on revenue generation and overall sales have been minutely assessed in the report for the period, 2020-25

* References of the leading, growth inclusive regions have been entailed in the report. Minute details on sales performance, market share and revenue generation milestones are contained in the report with reference to regions and country-wise specifications as well.

* Elaborate details on other market relevant information comprising sales channels and supply chain management. The report includes details on sales channels, traders, distributors as well as dealers in the chain.

* Excerpts on market relevant information entailing growth scope, market size expansion, risk assessment as well as other notable drivers and factors are presented

* Details pertaining to new investment projects as well as vital research conclusions along with their feasibility have been touched upon in this section of the report.

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Global Facial Recognition Market is segmented based by type, application and region.

Based on Type, the Market has been segmented into:

by Technology (2D facial recognition, 3D facial recognition, facial analytics recognition), Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Based on application, the Market has been segmented into:

By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Facial Recognition Market Regions and Countries Level Analysis

Regional analysis is a highly comprehensive part of this report. This segmentation sheds light on the sales of the Facial Recognition on regional- and country-level. This data provides a detailed and accurate country-wise volume analysis and region-wise market size analysis of the global market.

The report offers an in-depth assessment of the growth and other aspects of the market in key countries including the US, Canada, Mexico, Germany, France, the UK, Russia, Italy, China, Japan, South Korea, India, Australia, Brazil, and Saudi Arabia. The competitive landscape chapter of the global market report provides key information about market players such as company overview, total revenue (financials), market potential, global presence, Facial Recognition sales and revenue generated, market share, prices, production sites and facilities, products offered, and strategies adopted. This study provides Facial Recognition sales, revenue, and market share for each player covered in this report for a period between 2020 and 2025.

Report Investment: Know the Pros

o Besides assessing real time developments and triggers, this section of the report also presents notable past highlights that accelerated growth in global Facial Recognition market.

o A well scouted presentation of all the crucial segments that collectively harness maximum profit building in global Facial Recognition market

o A detailed account of crucial market developments, potential investment bays as well as evaluation of successful business decisions that guide profitable business outcome

o A clear depiction of market specific dynamics, competitor analysis as well as gauging competition intensity

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Facial RecognitionMarket 2020 Industry Analysis by Type, Application, End-User and Region : NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec...