Monthly Archives: January 2021

The idea of a surgeon implanting electrodes deep into your brain or of a computer reading your thoughts may seem like something out of science fiction. But such technologies are increasingly part of our everyday reality and, while they raise moral and ethical questions, they offer hope to many with disabilities and neurological disorders.

Electrodes in the brain have been used to treat several debilitating illnesses, including Parkinsons disease and severe depression. And researchers are experimenting with brain-computer interfaces that could make it possible for people who have lost the ability to move to communicate with others and operate assistive devices, such as wheelchairs.

Learn more about the field of neurotechnology and the potential of various neurotechnologies to improve the lives of people with disabilities and long-term illnesses at a public talk hosted by the Ontario Brain Institute at 6:30 p.m. on January 21. You will be able to watch the live stream here:

The panel, moderated by McGill Universitys Rackeb Tesfaye, will feature experts developing such technologies and people who work with and support those with disabilities.

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Ontario Brain Institute: The Transformative power of neurotechnology - TVO

Neurotechnology has updated its flagship MegaMatcher 12 portfolio. MegaMatcher 12 debuted in September, providing interested customers with improved versions of all of the companys biometric algorithms.

MegaMatcher 12.1 builds on that foundation, and introduces a slew of new features. Most notably, Neurotechnology has bolstered its facial recognition algorithm with single frame liveness detection and enhanced blink detection. It has also improved its mask detection capabilities, allowing the platform to do a better job of recognizing people with covered faces.

The fingerprint algorithm now offers better fingerprint segmentation, and gives users access to a special mode to enable matching in cases in which a fingerprint record does not have the proper resolution. Meanwhile, MegaMatcher 12.1 will run better on Android, iOS and Linux ARMplatforms thanks to its upgraded face, fingerprint, and iris template extraction tech.

Finally, MegaMatcher 12.1 will offer support for the WebP image format, and will allow customers to use NBiometricClient to connect to the MegaMatcher ABIS. Doing so will make it easier to migrate applications that were originally designed to function at the local level.

MegaMatcher 12.1 arrives on the heels of SentiVeillance 8.0. The latest iteration of the Neurotechnology computer vision platform can detect masks, and can track the movements of people and vehicles through a larger space.

January 22, 2021 by Eric Weiss

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Updated Version of MegaMatcher 12 Features Improved Biometric Algorithms - findBIOMETRICS

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In a paper published today in Nature Communications, Dr. Marco Capogrosso, assistant professor in the Department of Neurological Surgery at the University of Pittsburgh School of Medicine, proposed a new technology to improve arm and hand movements in individuals with arm paralysis due to spinal cord injury, stroke or other movement disorders.

In collaboration with colleagues in Switzerland, Capogrosso and his team combined physics simulations with experiments in macaque monkeys and humans to demonstrate that epidural electrical stimulation of specific regions in the spinal cord can be used to activate arm and hand muscles.

This work is very important for clinical applications, said Capogrosso, senior author of the paper, who is also part of the Pitt Rehab Neural Engineering Labs. To design effective therapies for paralysis, we need to selectively engage hand and arm muscles by providing the surviving neural circuits with appropriate electrical signals. In practice, this means that we need to know where to implant electrodes and how to design them and our work provides guidance to that.

Epidural stimulation is a neurotechnology that is used to treat pain caused by damage or injury to the nerves in thousands of patients every year. For this procedure, a surgeon implants a small neurostimulation device consisting of thin electrode wires over the spinal cords protective coating. When the device is turned on, it can send electric signals to the damaged nerve fibers and stimulate them, restoring the spinal circuits and dampening the feeling of pain after the injury.

However, modern spinal cord stimulators are not intended to target the cervical neural circuits necessary for arm and hand movement. Therefore, the scientists proposed and tested a modified design of multi-electrode spinal implants that were fitted to monkeys spinal cord dimensions.

To determine the optimal placement of electrodes in the cervical spinal cord where neural circuits that control arm movements are located researchers used insights from in silico, or computer, experiments and reproduced them in monkeys. Combining computer simulation with animal studies allowed researchers to reduce the number of animals needed to collect meaningful data as part of an effort called the Three Rs (Replacement, Reduction, Refinement) that strives to minimize the use of animals in research. And, because the monkeys cervical spine is anatomically and functionally similar to the humans, scientists were able to approximate the arm and hand movement in people very closely.

I think our graduate students Nathan Greiner, Beatrice Barra and the other members of the team did great work in building up from basic science concepts to design this practical technology while minimizing the number of animals used in this research, added Capogrosso.

However, there is still significant work to do to optimize this technology for use in people.

Capogrosso moved to Pittsburgh in January 2020 and joined the Department of Neurological Surgery to use the impressive resources of UPMC to bring this technology to patients as soon as possible. Thanks to collaborations with neurosurgeons such as Dr. Peter Gerszten, Capogrosso hopes to start testing the implant in patients soon.

Using the tools developed by other researchers, such as Dr. Fang-Cheng Yeh at the Department of Neurological Surgery and Dr. Elvira Pirondini at the Department of Physical Medicine and Rehabilitation, they will use precise MRI imaging to target electrode implantation in humans and reproduce the results obtained in monkeys.

Hopefully, well see the first results in humans in 2021, Capogrosso said.

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New Technology Promises to Restore Movement in Paralyzed Arms - UPMC

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Competitive Rivalry:- The main driver is the number and capability of competitors in the market. Many competitors, offering undifferentiated products and services, will reduce market attractiveness.

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Supplier Power:- An assessment of how easy it is for suppliers to drive up prices. This is driven by the: number of suppliers of each essential input; uniqueness of their product or service; relative size and strength of the supplier; and cost of switching from one supplier to another.

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Global Facial Tracking Solutions Market Research Key Players, Industry Overview And Forecasts To 2027 | Herta Security, FacePhi, Sightcorp., Beijing...

Neural Control Market research report is the new statistical data source added by A2Z Market Research.

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Top Key Players Profiled in this report are:

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The key questions answered in this report:

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Global Neural Control Market Segmentation:

Market Segmentation: By Type

* Hardware* Software

Market Segmentation: By Application

* Hospital* Research

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Regions Covered in the Global Neural Control Market Report 2021: The Middle East and Africa (GCC Countries and Egypt) North America (the United States, Mexico, and Canada) South America (Brazil etc.) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

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Global Neural Control Market Research Report 2021 2027

Chapter 1 Neural Control Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Neural Control Market Forecast

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Comprehensive Report on Neural Control Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027 | MIT, Hebrew university, Haier,...

The latest Facial Recognition Market Research comprises some significant activities of the todays market size for the global Facial Recognition market. Moreover, it provides a point-by-point analysis based on a comprehensive study of market elements such as market size, development situation, potential opportunities and analysis of the operating landscape as well as trends.

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Significant Competitors 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 offers an in-depth analysis of Facial Recognition industries, placing them in the readers perspective, conveying accurate market information and adding valuable and well-informed data. It examines the effect of mechanical progress, changes in propensities to speculation, and the top-down outlines of the product specification. This report is based on the Facial Recognition-business status, presents volume and value, key market, type of product, consumers, regions and key players.

The report will be useful for monitoring development factors, inadequacies, hazards and lucrative opportunities that the market will provide over the forecast period. The report also includes revenues, industry size, share, output volume along with utilization in order to collect information about legislative issues and deal with a colossal mass of market share.

Facial Recognition Competitive Analyses in the Marketplace:

The Facial Recognition Industry is usually rewarding due to the presence of several accumulated players and their steady development of marketing strategies to expand their market share However, the marketable retailers are obsessed with value, quality, brand, product differentiation and product portfolio. The sellers progressively insist on the personalization of the products thanks to the customer connection.

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Table of Contents:

Global Facial Recognition Market Analysis 2020, With Top Companies, Production, Revenue, Consumption, Price and Growth Rate

1 Market Scope2 Regional Market3 Global Facial Recognition Market Assessment by Type4 Global Facial Recognition Market Assessment by Application5 North America6 Asia7 Europe8 Middle East and Africa9 South America10 Global Facial Recognition Average Price Trend11 Value Chain (Impact of COVID-19)12 Facial Recognition Competitive Analysis13 Conclusion

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Major Type of Facial Recognition Covered in report:

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)

Application Segments Covered in Market

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

Key questions answered in the report include:

*What will the market growth rate of Facial Recognition market in 2024?*What are the major factors driving the global Facial Recognition market?*Who are the leading manufacturers in this market space?*Who are the traders, distributors, and dealers of the market?*What are the market opportunities, market risk and market overview of the Facial Recognition market?*What is the revenue, sales, and price analysis of leading manufacturers of this market?*What are the market opportunities and threats to be taken into account by the vendors in the global Facial Recognition market?

Facial Recognition Market Report ends with Breakdown and Data Triangulation, Consumer Needs/Customer Preference Change, Research Findings, Market Size Estimation, Data Source. However, these variables will widen the scope of activities as a whole.

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*This research report discloses Facial Recognition business overview, product overview, market share, demand and supply ratio, supply chain analysis, and import/export details.

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Facial Recognition Market Growing at a Significant Rate in the Forecast Period 2027 NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems...