Neurable Analysis
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This slide shows the analysis of Neurable from the perspective of what they provide with us and how it works, based on my assumption.
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Cognixion Analysis
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Emotiv Analysis
Emotiv is a San Francisco-based company founded in 2011 that develops EEG-based brain-computer interface products and research. It has raised $1.76 million in seed funding and has between 51-100 employees. Emotiv's products include the EPOC X and EPOC Flex for researchers, the MN8 and INSIGHT for consumers, and software like Emotiv BCI, Emotiv Pro, and Emotiv BrainViz. The company aims to better understand the human brain through electroencephalography and provide developers with affordable and high-quality tools and data to create BCI applications.
Emotiv EPOC EEG Headset
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Brainsense -Brain computer Interface
Brainsense is a single-channel, wireless EEG headset created by Pantech Prolabs India Pvt Ltd that monitors brain activity and translates it into meaningful data. It can be used to play cognitive games, measure meditation levels daily, test focus through real-time brain monitoring, research brain-computer interfaces, and read raw brainwaves. Brainsense works across various platforms and with popular brain training apps globally.
Brainsense -Introduction to brain computer interface
This document provides an introduction to brain-computer interfaces (BCI). It defines BCI and its components. It describes how BCIs can allow communication using brain signals alone, without muscle control, to help paralyzed people communicate. It also discusses different types of biosignals measured, including EEG, and how non-invasive BCIs using scalp electrodes work. Applications mentioned include communication devices, operator monitoring, games and entertainment.
EEG Game Simulator Using BCI & RaspberrPi
This project proposal outlines developing an EEG-based game simulator using a brain-computer interface. The objective is to enhance gaming experience at low cost by creating an open-source device that can sense alpha and beta brainwaves and use the data to simulate games like racing and open world games by filtering alpha waves to capture basic human movements. The proposal details using a Raspberry Pi 3 with an amplifier circuit and open source software to interpret brain signals and trigger game controls. The initial goals are to build a prototype that can interpret alpha waves and improve accuracy over several iterations.
[Challenge:Future] Motion-to-Speech translator
The document proposes a motion-to-speech translator to help people who cannot speak communicate through gestures by detecting their motions, translating the motions to text using artificial intelligence, and synthesizing the text to speech. It outlines the existing non-technological communication methods for nonspeakers, describes the three steps of the proposed system - motion detection, AI translation of motions to words, and speech synthesis, and provides hardware and workflow diagrams of how the system would function to translate user motions into artificial speech.
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This slide shows the analysis of Cognixion from the perspective of what they provide with us and how it works, based on my assumption.
Neurosity Analysis
The slide shows an analysis of Neurosity, providing a non-invasive BCI 'CROWN', from the perspective of what they are doing and what their advantages are.
Emotiv Analysis
Emotiv is a San Francisco-based company founded in 2011 that develops EEG-based brain-computer interface products and research. It has raised $1.76 million in seed funding and has between 51-100 employees. Emotiv's products include the EPOC X and EPOC Flex for researchers, the MN8 and INSIGHT for consumers, and software like Emotiv BCI, Emotiv Pro, and Emotiv BrainViz. The company aims to better understand the human brain through electroencephalography and provide developers with affordable and high-quality tools and data to create BCI applications.
Emotiv EPOC EEG Headset
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Find me on:
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http://www.afcit.xyz
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https://www.researchgate.net/profile/Ahmed_Gad13
Academia
https://www.academia.edu/
Google Scholar
https://scholar.google.com.eg/citations?user=r07tjocAAAAJ&hl=en
Mendelay
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ORCID
https://orcid.org/0000-0003-1978-8574
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http://stackoverflow.com/users/5426539/ahmed-gad
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Brainsense -Brain computer Interface
Brainsense is a single-channel, wireless EEG headset created by Pantech Prolabs India Pvt Ltd that monitors brain activity and translates it into meaningful data. It can be used to play cognitive games, measure meditation levels daily, test focus through real-time brain monitoring, research brain-computer interfaces, and read raw brainwaves. Brainsense works across various platforms and with popular brain training apps globally.
Brainsense -Introduction to brain computer interface
This document provides an introduction to brain-computer interfaces (BCI). It defines BCI and its components. It describes how BCIs can allow communication using brain signals alone, without muscle control, to help paralyzed people communicate. It also discusses different types of biosignals measured, including EEG, and how non-invasive BCIs using scalp electrodes work. Applications mentioned include communication devices, operator monitoring, games and entertainment.
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This project proposal outlines developing an EEG-based game simulator using a brain-computer interface. The objective is to enhance gaming experience at low cost by creating an open-source device that can sense alpha and beta brainwaves and use the data to simulate games like racing and open world games by filtering alpha waves to capture basic human movements. The proposal details using a Raspberry Pi 3 with an amplifier circuit and open source software to interpret brain signals and trigger game controls. The initial goals are to build a prototype that can interpret alpha waves and improve accuracy over several iterations.
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The document proposes a motion-to-speech translator to help people who cannot speak communicate through gestures by detecting their motions, translating the motions to text using artificial intelligence, and synthesizing the text to speech. It outlines the existing non-technological communication methods for nonspeakers, describes the three steps of the proposed system - motion detection, AI translation of motions to words, and speech synthesis, and provides hardware and workflow diagrams of how the system would function to translate user motions into artificial speech.
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BCI game system is combined with a wearable gesture interface, which detects electromyography.
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This document discusses brain-computer interfaces (BCI), which allow direct communication between the brain and external devices. It describes how BCIs work by acquiring brain signals through non-invasive or invasive methods, processing the signals to extract features, and using those features to control external devices. The document outlines different types of brain waves and BCI applications, as well as disadvantages like potential brain damage from invasive methods.
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This document discusses brain-computer interfaces (BCI). It defines BCI and describes the different types - invasive, non-invasive, and semi-invasive. It explains the implementation process for BCI, including signal acquisition using EEG, feature extraction, translation to device commands, and feedback. Examples of BCI applications in India are provided. The global BCI market and conclusions are also briefly mentioned.
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Fin gesture control 1
The document describes Fin, a ring that uses sensors and Bluetooth to allow the wearer to control connected devices with hand gestures. It consists of an IMU motion sensor, microcontroller, and optical detection sensor. The ring recognizes swipes and taps on the palm to change volumes, switch channels, answer calls and more on smartphones, TVs and cars. It is waterproof and can connect to three devices at once. Fin provides contactless control of devices for convenience and hands-free interaction.
Mind controller chip
Now technology every day going on more and more technical. most of the people do work with technology. after working they usually become more stressful more depress or many think.
Here i obtain a solution. How we can control our brain through a chip easily or naturally for become happy, enjoyful
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This is a novel creation.It is a technology for visually impaired persons.It enables them to become independent by doing their day to day task like banking, reading, walking etc on their own. It is very easy to use and apart from visually impaired persons, it enables tourist to track the location. It is a wearable device which enables the person to handle anywhere he wants.
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BrainGate is a brain implant system that monitors brain activity to enable paralyzed people to control external devices with their thoughts. It consists of a computer chip implanted in the brain that records electrical brain activity and translates it into commands. In clinical trials, BrainGate allowed a paralyzed man to move a computer cursor, open simulated email, draw shapes, and control a prosthetic hand and robotic limb. While promising, challenges remain due to the complexity of the brain signal and limitations in information transfer rates.
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A brain–computer interface (BCI), is a direct communication pathway between the brain and an external device.
Ever wondered how it works? What are different types of BCI?
Find out more about Brain Computer Interface (BCI) in this presentation from Extentia Information Technology.
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The document outlines a testing strategy to assess engagement levels in children from three target populations using EEG and delay counting technologies. The plan is to procure a NeuroSky EEG headset and several joysticks/buttons to test with children with autism, Down syndrome, and physical disabilities. Data will be collected during activities in the Hatch software and analyzed in LabVIEW, MATLAB, and Excel to quantify engagement levels based on EEG signals and time of inactivity. Regular correspondence will be kept with Hatch.
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This document provides an introduction to brain-computer interface (BCI) technology. It defines BCI as using brain signals measured by EEG to allow communication without muscle control, especially for paralyzed individuals. It describes the main components of a BCI system and different types of invasive and non-invasive BCIs. It also summarizes different BCI modalities including active, reactive, and passive BCIs and provides an overview of EEG, electrode placement, signal processing challenges, and applications of BCI technology.
Silent sound technology- Technology towards change.
The document discusses silent sound technology, which allows people to communicate verbally over the phone without actually speaking. It does this through two methods - electromyography, which monitors muscle movements related to speech, and image processing of lip movements. The technology was first conceptualized in a 1968 film and was demonstrated at a 2011 trade show in Germany. It has potential applications for situations where silent communication is necessary, such as in noisy environments or for people with speech impediments. The document provides details on how the methods work and potential features and uses of the silent sound technology.
Neural hacking
Neurohacking is the colloquial term for (usually personal or 'DIY') neuroengineering. It is a form of biohacking (qv) focusing on the brain and CNS. Strictly speaking it is any method of manipulating or interfering with the structure and/or function of neurons for improvement or repair.
A Better Way to Unlock Speech
In this webinar, we discussed an innovative way to give the joy of communication back to those living with paralysis or loss of speech.
Topics covered:
•How people with ALS, Cerebral Palsy, MND, and spinal cord injuries can use the signals sent by their brains to their muscles to communicate.
•Where eye tracking technology falls short and how electromyography (EMG) provides a better experience with less hassle.
•Tips on how caregivers and clinicians can share the latest in assistive communication technology with their patients
Control Bionics is the maker of the NeuroSwitch, an assistive and augmentative communication (AAC) devices for people living with paralysis and loss of speech. Our mission is to develop the most advanced technology to enable our users to enhance their abilities, dignity and independence.
We work with people living with conditions like ALS, MND, SCI, cerebral palsy, aphasia, and locked-in syndrome. See videos, case studies, and learn how the NeuroSwitch works at www.controlbionics.com.
Brainwave robotics
This two-day workshop will introduce participants to controlling robots and devices with their brainwaves. It consists of four three-hour sessions covering topics like Arduino, robot assembly, motors, line following robots, decoding brainwaves, and using a brainwave starter kit to interface with and control robots through thought. The 150 expected participants will learn hands-on and work in teams of five with one brainwave starter kit per team. The total cost is Rs. 5000 per person and registration is Rs. 1000 per team of five members.
brain computer-interfaces PPT
This document provides an overview of brain-computer interfaces (BCI). It discusses the history and development of BCI, including early work using electrodes implanted in monkeys. The document outlines different approaches to BCI, including invasive, semi-invasive, and non-invasive methods. Applications mentioned include providing communication assistance and environmental control for disabled individuals, enhancing video games, and monitoring brain states. Several current BCI projects are also briefly described, and the conclusion discusses BCI's potential therapeutic benefits and role in human enhancement.
Fin presentation
Fin is a wearable ring device that allows the user to control multiple digital devices through gestures of the hand and fingers. It was developed by Rohildev N and his company RHL Vision Technologies. When worn on the thumb, Fin uses sensors and Bluetooth to turn the palm and fingers into a touch interface. Users can swipe and tap with their thumb to dial calls, send texts, control media playback and more on connected smartphones, smart TVs, cars and other devices in a hands-free manner.
Brain Computer Interface (BCI) - seminar PPT
This document discusses brain computer interfaces (BCI). It begins by providing background on early pioneers in the field like Hans Berger in the 1920s-1950s. It then discusses some key BCI developments from the 1990s to present day, including devices that allow paralyzed individuals to control prosthetics or computers using brain signals. The document outlines the basic hardware and principles of how BCIs work by interpreting brain signals to control external devices. It discusses potential applications like internet browsing, gaming, or prosthetic limb control. The benefits and disadvantages of BCIs are noted, and the future possibilities of using BCIs to enhance human abilities are explored.
Brain Computer Interface
One of the applications of brain-computer interface (BCI) is for entertainment.
BCI games have potential extensibility in combination with virtual reality environment.
BCI game system is combined with a wearable gesture interface, which detects electromyography.
Wearable Gesture Interface increases a user‘s feeling of presence and fun.
This technology is the future of mankind.
Brain computer interface
This document discusses brain-computer interfaces (BCI), which allow direct communication between the brain and external devices. It describes how BCIs work by acquiring brain signals through non-invasive or invasive methods, processing the signals to extract features, and using those features to control external devices. The document outlines different types of brain waves and BCI applications, as well as disadvantages like potential brain damage from invasive methods.
Brain gate system
The document introduces the BrainGate system, which uses a brain-computer interface (BCI) to allow thoughts to directly control external devices. The BrainGate system works by translating brain activity patterns detected by implanted sensors into communication outputs using adaptive algorithms and machine learning techniques programmed in languages like C, Java and MATLAB. This type of direct brain control provides advantages like interactive computing assistance for disabled individuals without needing lengthy training periods.
Seminar
This document discusses brain-computer interfaces (BCI). It defines BCI and describes the different types - invasive, non-invasive, and semi-invasive. It explains the implementation process for BCI, including signal acquisition using EEG, feature extraction, translation to device commands, and feedback. Examples of BCI applications in India are provided. The global BCI market and conclusions are also briefly mentioned.
Brain gate technology
BrainGate technology involves implanting a sensor into the brain to detect neural signals and convert them into commands to control external devices. The sensor is connected to an external decoder that translates the brain signals. The BrainGate system was developed to help disabled individuals communicate and control everyday functions. It allows people to control things like wheelchairs and computers just by thinking, offering an interactive environment without needing speech or eye movements. However, the BrainGate system is still under development and improvements are needed to make it fully wireless and reduce risks from long-term brain implants.
Fin gesture control 1
The document describes Fin, a ring that uses sensors and Bluetooth to allow the wearer to control connected devices with hand gestures. It consists of an IMU motion sensor, microcontroller, and optical detection sensor. The ring recognizes swipes and taps on the palm to change volumes, switch channels, answer calls and more on smartphones, TVs and cars. It is waterproof and can connect to three devices at once. Fin provides contactless control of devices for convenience and hands-free interaction.
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Brain Computer Interface (BCI) -- Control Things with your Mind
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Brain Game Simulator using BCI | EEG Applications | NeuroSky Minwave
Brain Game Simulator using BCI | EEG Applications | NeuroSky Minwave
Silent sound technology- Technology towards change.
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Similar to Neurable Analysis
Mind controller chip
Now technology every day going on more and more technical. most of the people do work with technology. after working they usually become more stressful more depress or many think.
Here i obtain a solution. How we can control our brain through a chip easily or naturally for become happy, enjoyful
BRAIN CHIPS
A brief description on brain chips, it's applications.Advantages,disadvantages,principles,future.
All you want to know about brain chips.
Scanned by CamScannerScanned by CamScanner21.docx
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2162-2248/15©2015IEEE34 IEEE ConsumEr ElECtronICs magazInE ^ july 2015
M
ajor thrusts combining neuroscience, sen-
sor chip design, and software development have
already shown remarkable advancement,
regardless of many uncertainties and challeng-
es. Brain–computer interface (BCI) headsets,
which are injecting new break points in games and entertain-
ment, deliver desirable special effects, aiding wellness train-
ing and rehabilitation. This article summarizes the brain
signal processing algorithmic approach in achieving the level
of interpretability of brain signals to date. The emergence of
imprecise brainwave headsets in the commercial world is
illustrated. Current tools for research and future development
are discussed, with a recommendation to standardize the
brain signal databank, anticipating its reach to big data.
Sheryl Flynn and I delivered a tutorial “Therapeutic Neuro-
game Application Development for Healthcare/Wellness” at
the 2015 International Conference on Consumer Electronics
(ICCE). Dr. Flynn, founder and chief executive officer of Blue
Marble Game Company, is a world-renowned expert with a
unique perspective on therapeutic neurogaming products.
Based on her experience and the feedback from the audience, it
behooves me to elaborate on the state of the art of BCI technol-
ogy and products.
BACKGROUND AND ROAD MAP
In 1929, neuroscientists started to observe the primary cur-
rents generated by synchronous firing of large populations of
neurons in the brain. The secondary currents induced as the
extracellular return currents are measurable as extracranial
electric potentials by electroencephalography (EEG), reflect-
ing human cognizance. These research activities intensified
after the 1970s. The Wadsworth Center in New York [15] cre-
ated a BCI system that incorporated electronic signals from
the brain into a novel communication-and-control device in
1991, using as many as 75 sensors. However, this device
required institutional electronic expertise, and it was very
costly. It took the next 20 or so years for a consumer-grade
product to be introduced. Since 2012, BCI headsets using one
Brain–Computer
Interface Technology
and Development
By Narisa N.Y. Chu
The emergence of imprecise
brainwave headsets
in the commercial world.
Digital Object Identifier 10.1109/MCE.2015.2421551
Date of publication: 15 July 2015
july 2015 ^ IEEE ConsumEr ElECtronICs magazInE 35
Im
ag
e lIc
en
sed
by In
g
r
am
pu
blIsh
In
g
to nine sensors have entered the market, with some examples
demonstrated in Figures 1 and 2, where sensor placements
have also been indicated for various settings based on standard
P300 EEG detection locations on the scalp. A road map that
highlights the BCI technology development is shown in Figure 3,
contrasting with the original research focus on brain signal
processing algorithms with the advent of many produc.
Mind control device
This document discusses mind-controlled devices that can interpret brain signals through electroencephalography (EEG) sensors. It describes how EEG headsets can detect electrical activity in different areas of the brain associated with visual processing, language, memory and cognitive control. Advanced algorithms are then used to analyze the brain waves and convert them into binary code that can control external devices. Some potential applications mentioned include using mental signals to control video games, drones, wheelchairs and exoskeletons. However, EEG also detects non-brain noise that must be filtered out, and it cannot provide precise localization or functional information about brain activity.
Brain Gate
The document describes the Brain Gate system, a brain-computer interface that allows paralyzed individuals to control external devices with their thoughts. The Brain Gate system works by implanting an array of electrodes on the motor cortex that detects neural signals related to intended movement. These signals are transmitted to a computer via wires and translated into commands to operate a cursor or prosthetic. The system was developed in 2003 and has helped paralyzed individuals perform tasks like using email and playing simple games. While promising, the Brain Gate system has limitations like expense, time needed for processing, and difficulty adapting. Future improvements could make the technology more accurate and useful for individuals with paralysis or disabilities.
HUMAN BRAIN INTERFACE
This document summarizes brain-computer interface (BCI) technology. It discusses early work involving decoding brain signals in monkeys and using BCI to control robotic arms. It outlines different BCI approaches, including invasive, partially invasive, and non-invasive methods. Current BCI projects are described, such as using BCI to control devices like wheelchairs. Potential applications include providing communication for disabled individuals and monitoring brain states. While promising, BCI research faces challenges around signal quality and biocompatibility.
Future of AI
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
2162-224815©2015IEEE34 IEEE ConsumEr ElECtronICs magazInE ^ .docx
2162-2248/15©2015IEEE34 IEEE ConsumEr ElECtronICs magazInE ^ july 2015
M
ajor thrusts combining neuroscience, sen-
sor chip design, and software development have
already shown remarkable advancement,
regardless of many uncertainties and challeng-
es. Brain–computer interface (BCI) headsets,
which are injecting new break points in games and entertain-
ment, deliver desirable special effects, aiding wellness train-
ing and rehabilitation. This article summarizes the brain
signal processing algorithmic approach in achieving the level
of interpretability of brain signals to date. The emergence of
imprecise brainwave headsets in the commercial world is
illustrated. Current tools for research and future development
are discussed, with a recommendation to standardize the
brain signal databank, anticipating its reach to big data.
Sheryl Flynn and I delivered a tutorial “Therapeutic Neuro-
game Application Development for Healthcare/Wellness” at
the 2015 International Conference on Consumer Electronics
(ICCE). Dr. Flynn, founder and chief executive officer of Blue
Marble Game Company, is a world-renowned expert with a
unique perspective on therapeutic neurogaming products.
Based on her experience and the feedback from the audience, it
behooves me to elaborate on the state of the art of BCI technol-
ogy and products.
BACKGROUND AND ROAD MAP
In 1929, neuroscientists started to observe the primary cur-
rents generated by synchronous firing of large populations of
neurons in the brain. The secondary currents induced as the
extracellular return currents are measurable as extracranial
electric potentials by electroencephalography (EEG), reflect-
ing human cognizance. These research activities intensified
after the 1970s. The Wadsworth Center in New York [15] cre-
ated a BCI system that incorporated electronic signals from
the brain into a novel communication-and-control device in
1991, using as many as 75 sensors. However, this device
required institutional electronic expertise, and it was very
costly. It took the next 20 or so years for a consumer-grade
product to be introduced. Since 2012, BCI headsets using one
Brain–Computer
Interface Technology
and Development
By Narisa N.Y. Chu
The emergence of imprecise
brainwave headsets
in the commercial world.
Digital Object Identifier 10.1109/MCE.2015.2421551
Date of publication: 15 July 2015
july 2015 ^ IEEE ConsumEr ElECtronICs magazInE 35
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to nine sensors have entered the market, with some examples
demonstrated in Figures 1 and 2, where sensor placements
have also been indicated for various settings based on standard
P300 EEG detection locations on the scalp. A road map that
highlights the BCI technology development is shown in Figure 3,
contrasting with the original research focus on brain signal
processing algorithms with the advent of many products’
introduction of headsets.
Due t.
Thought Detection via BCI
This presentation shows the detail knowledge about EEG. It contains slides with animation. You can build your own concept to explain the slide.
Best view in 16:9 ratio.
Brain Computer Interface
This document provides an introduction to brain computer interfaces (BCI) and the Brainsense EEG headset. It discusses what a BCI is, the different types of BCI systems and sensors used, including invasive and non-invasive options. The document outlines the basic anatomy and functioning of the brain, how EEG signals are measured, and applications of BCI technology such as communication devices for disabled individuals, lie detection, gaming, health and neuroscience research. Finally, it provides an overview of the Brainsense headset, its specifications and capabilities, and examples of software that can be used with it.
Muse Senser
Muse is a flexible, 4-sensor headband that measures brainwave activity in real-time and sends the data to a smartphone or tablet. It allows users to see how their brain performs under different mental states like relaxation, concentration, and stress. The headband was designed to be comfortable for everyday use and to work with applications for brain health, fitness training, and stress management. In the future, InteraXon aims to use brainwave data to allow users to control devices with their thoughts.
Brain Waves Surfing - (In)security in EEG (Electroencephalography) Technologies
Electroencephalography (EEG) is a non-invasive method for the recording and the study of electrical activity of the brain taken from the scalp. The source of these brain signals is mostly the synapic activity between brain cells (neurons). EEG activity is represented by different waveforms per second (frequencies) that can be used to diagnose or monitor different health conditions such as epilepsy, sleeping disorders, seizures, Alzheimer disease, among other clinical uses. On the other hand, brain signals are used for many other research and entertainment purposes, such as neurofeedback, arts and neurogaming. Nowadays, this technology is being adopted more and more in different industries.
A brief introduction of BCIs (Brain-Computer Interfaces) and EEG will be given in order to understand the risks involved in our brain signals processing, storage and transmission.
Live demos include the visualization of live brain activity, the sniffing of brain signals over TCP/IP as well as flaws in well-known EEG applications when dealing with some corrupted samples of the most widely used EEG file formats (e.g. EDF). These demos are a first approach to demonstrate that many EEG technologies are prone to common network and application attacks.
Finally, best practices and regulatory compliance on digital EEG will be discussed.
Rewir Trend Review #03
This document discusses the growing field of wearable technology and its implications. It explores how wearables will transform data collection and use, requiring companies to utilize prescriptive insights from massive amounts of personal data. Examples are provided of current wearables and their applications in healthcare, education, intimacy, and more. The document concludes that wearable technology offers brands opportunities to differentiate themselves, but also raises issues around privacy that require honest consideration.
Rewir trendreview 03_2015
This document discusses the growing field of wearable technology and its implications. It explores how wearables will transform data collection and use, requiring companies to utilize prescriptive, human-centered insights from massive amounts of personal data. Examples are given of current wearables and their applications in healthcare, education, intimacy, and more. The document concludes that while privacy issues exist, wearables offer brands opportunities to differentiate if they can establish trust around data usage.
Cyber neurology in the digital era
This document discusses how digital tools can assist neurologists in their clinical practice, teaching, research, and patient management. It outlines various digital tools categorized as "catch and carry tools", "mobile computing health devices", and "assistive devices for neurologically disabled". It then provides details on specific tools within each category, such as digital cameras, portable digital vaults, digital scanners, mobile applications, eye tracking devices, and virtual reality applications. The goal is to organize these digital resources to make them more accessible and useful for neurologists.
Password system that are mind control
One-day system authentication could be widely achieved through brainwaves. One doesn’t need to remember that 8 or more character long strange password. Simply thinking of certain things, such as a person face, or a rotating displayed cube, or line of song would be enough to unlock a device. Electro-encephalography (EEC) sensors are behind the technique. That is where electrical activity in certain parts of the brain is recorded. These sensors are used to generate the graphical lines on charts created from wired electrodes placed on the scalp, as seen in hospitals and TV shows. They are used in hospital to diagnose epilepsy, among other things. In this case, though, one wouldn’t need to be fitted with wired electrodes —or even a headset, which is used already in some current non-muscular EEC computer controls. An ear bud will collect the signals (mental gesture) and perform secure authentication. This research could provide hands-free and wireless interaction, authentication, and user experience, all in the form-factor of a typical ear bud.
Brain Gate Technology (By HasanAli Nodoliya NRI)
The document discusses Brain Gate, which is an electrode chip that can be implanted in the brain to allow communication between brain signals and external devices. It works by detecting electrical signals from the brain during imagined movements and transmitting them to decoding software. The goal is to provide paralyzed patients with computer and device control through thought alone. Early successful tests were conducted with monkeys and then humans. While promising, challenges remain around improving information transfer rates, adaptation, and reducing costs.
Assignment Neuroscience to AI
This document discusses decision making and the relationship between neuroscience, artificial intelligence, and technology. It covers how the human brain makes decisions through either conscious or unconscious routes. Researchers are using neuroscience to understand brain activity that can be fed into AI systems to help machines make decisions like humans. The goal is to continue developing AI that can learn continuously like the human brain to help with tasks. The document outlines the history of AI and how technologies like neural networks, virtual assistants, and cashless payments are applying concepts from neuroscience and emulating human brain functions. Continued growth and changes in the relationship between neuroscience, AI, and technology are expected in the future.
Benfits computer technology hearihg impaired
This document discusses the role of computers in assisting those with hearing impairments. It outlines how computers can be used for hearing tests, auditory training programs, note-taking assistance for students, and research into treatments like stem cell therapy and targeted neural stimulation. It also discusses software tools and Microsoft's accessibility features that make computers easier to use for those with hearing loss.
VC WIN Report SPECIAL
- hub:raum is Deutsche Telekom's incubator that organizes the Wearables Innovation Network event to connect promising wearable startups with investors.
- The report profiles 40 startups working in areas like connected home, fitness, health, and connected car. It is intended to provide investors with information on promising opportunities.
- hub:raum provides startups with funding, workspace, mentoring, and opportunities to partner with Deutsche Telekom to help startups grow their business.
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2162-224815©2015IEEE34 IEEE ConsumEr ElECtronICs magazInE ^ .docx
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Brain Waves Surfing - (In)security in EEG (Electroencephalography) Technologies
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- 2. Dr. Ramses Alcaide CEO/Co-founder Team Founded: 2015 Place: Cambridge, MA, U.S. Funding: $9M (Series A) Employees: 17 What is Neurable Neurable builds full-stack neurotechnology tools that interpret human intent, measure emotion, and provide telekinetic control of the digital world. Adam Molnar Co-founder Profile
- 3. Using EEG brainwave sensors, Enten measures your focus patterns so you work smarter, not longer. Track when and where you focus best. “Enten” Auto-mute notifications based on your focus level. Recommend the perfect playlists along with your productivity. Gesture controls without saying a word or pushing a button.
- 4. How “Enten” works P300 based on audio/visual stimuli BCI Ear-EEG-based device - 16-channels - Dry sensors - 24 hours battery Neuro- feedback Hardware Software Gesture controls with your mind Oscillatory wave (e.g. alpha rhythm) Banish distractions Application
- 5. Competitive advantages Enten is great not only in terms of BCI with multiple electrodes but also in terms of design, because some specialists on headphones relates to the product. Well-designed Enten is a headphone-type BCI with a strong battery so everyone can wear it without no stresses. Easy for daily use