EXGbuds

Ker-Jiun Wang

EXGbuds is a wearable device that allows users to control smart-home devices.

Snapshot
Manufacturing & delivery
Performance & use
Research & standards
Feedback

Product description Brand name and product description

EXGbuds is a compact headset/earbud that generates actionable commands from simple eye movements and facial gestures. It allows users to interact with surrounding smart devices hands-free.

Target region(s) Target region for distribution/implementation (listed by country if specified)

Worldwide

Distributors/implementing organizations Organization(s) distributing/deploying this product directly to communities/individuals?"

EXG-wear

Market suggested retail price Price per unit or service price per usage/terms (USD). Subsidies noted.

Not advertised, preorder possible

Competitive landscape Similar products available on the market. May not be a comprehensive listing.

DXC technology

SDG targeted United Nations Sustainable Development Goals (SDGs) targeted with this product/application/service

Goal 3: Good health and well-being

Goal 9: Industry, innovation and infrastructure

Target user(s) Target user/consumer base (country, income segment)

Disabled individuals

Manufacturing/building method(s) Detail regarding solution production or construction method (instructions, mass production capacity, custom made,etc...)

EXGbuds consists of customizable hardware and software, with biosensors placed on top of the ears combined with machine learning algorithms to measure various physiological signals to satisfy a variety of user needs.

The team developed their own patented Electroencephalogram (EEG) dry electrode sensors and microscale Bluetooth communication modules.

Product Intellectual Property Open source/IP protected (note patent)/trade secret/other?

Trademarked

User Provision Model Where can the product be purchased/acquired by end users?

Directly from manufacturer

Distribution to date Number of units that have been deployed, downloads or users to date

Unknown

Fields marked are sourced values that have been evaluated by the manufacturer or a third party, all others are design specifications.

Telecommunication service required (Y/N)

Telecommunication service required for the product/service to work (Mobile data, SMS, voice, Internet, Other)

Communication protocol used

Local network communication protocol used aside from the telecommunications required (Wifi, bluetooth, Radio frequency, Zigbee, Other)

Bluetooth

Permanent network connectivity required (Y[specify]/N)

Device features required for the product/service to work.

Type of data collected

Text, Numbers, Multimedia (Photos, video, audio, etc), Geolocation, Sensor readings, Other

Raw signals of eye and facial activities

Propietary hardware used (Y/N)

List what type of hardware components/devices are used in this IoT solyution (Proprietary, Non Proprietary [Raspberry Pi, Arduino, other])Display order

Yes

Sensors used (Y/N)

If Yes, specify the type and quantity of sensors used for the product to deliver the service

Yes, the device uses non-invasive biosensors

Open source code (Y/N)

Is the code of this project open source?

Open source data (Y/N/ Other)

Is the data from this project publically available?

Operating system and version

Android, IOs, Windows, Not applicable, or other [specify]

Unknown

Power requirements

Batteries, Uninterrupted prower supply (UPS), solar energy, Other [specify]

Unknown

Application

Monitoring & evaluation (M&E) , survey for project management (baseline, midline, and endline), household surveys for health, ag, financial inclusion, water, education, academic research survey, impact evaluations, market research, other (specify)

Assistive technologies, smart devices, virtual reality

Remote system diagnostics available (Y/N)

Design specifications Component and Operation overview including power, portability, facility requirements, preventative maintenance and user training requirements

By placing sensors and electronic modules in a compact and ergonomic way, EXGbuds provides a human-centered product design. Users can customize their own ergonomic design to place sensors at different locations to measure different physiological signals.

Product schematics Design and assembly illustrations

Technical support Technical support provided by

From manufacturer

Replacement components Availability of replacement components (in-country, by order,...)

None

Lifecycle Disposal and warranty

Unknown

Manufacturer specified performance targets Designer / Manufacturer specified targets

Assist people with disabilities and improve productivity with augmented sensing.

Vetted performance Findings of manufacturer evaluations or independent testing centers

The classification of the eye and facial gestures under the developed machine learning algorithm can reach to above 95% accuracy.

Testing organizations Independent lab, academic research centers, etc.

University of Pittsburgh

Safety Potential hazards / risks related to operation of this product

N/A

Complementary technical systems Performance of this product is improved with another technology (eg. Cookstoves and Wind-blocking skirts)

None

Academic research Academic research related to the product (e.g. published papers in peer-reviewed journals)

Wang, K. J., Tung, H. W., Huang, Z., Thakur, P., Mao, Z. H. and You, M. X., 2018, EXGbuds: Universal Wearable Assistive Device for Disabled People to Interact with the Environment Seamlessly, Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, pp. 369-370.

Wang, K. J., Liu, Q., Zhao, Y., Zheng, C. Y., Vhasure, S., Liu, Q. and Mao, Z. H., 2018, Intelligent Wearable Virtual Reality (VR) Gaming Controller for People with Motor Disabilities, 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), pp. 161-164.

Wang, K. J., You, K., Chen, F., Thakur, P., Urich, M., Vhasure, S. and Mao, Z. H., 2018, Development of Seamless Telepresence Robot Control Methods to Interact with the Environment Using Physiological Signals, in Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, pp. 44-44.

Wang, K. J., Zhang, A., You, K., Chen, F., Liu, Q., Liu, Y. and Mao, Z. H. , 2018, Ergonomic and Human-Centered Design of Wearable Gaming Controller Using Eye Movements and Facial Expressions, 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), pp. 1-5.

Wang, K. J., Liu, Q., Vhasure, S., Liu, Q., Zheng, C. Y. and Thakur, P., 2018, EXG Wearable Human-Machine Interface for Natural Multimodal Interaction in VR Environment, Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, p.49.

Compliance with regulations Product certifications and standards referenced by designer/manufacturer

Unknown

Evaluation methods Evaluation methods/protocols/guidelines referenced by designer or manufacturer.

Academic research: several papers evaluated the accuracy of the machine learning algorithm that classifies human gestures into interaction with the device.

Other information

None

In context photographs (0)

You can use the form below to contribute a photo of this product.

In context files & documents (0)

Feedback from users, customers & distributors

Please let us know your experience in using this product through comments below.

Snapshot

Product description Brand name and product description

EXGbuds is a compact headset/earbud that generates actionable commands from simple eye movements and facial gestures. It allows users to interact with surrounding smart devices hands-free.

Target region(s) Target region for distribution/implementation (listed by country if specified)

Worldwide

Distributors/implementing organizations Organization(s) distributing/deploying this product directly to communities/individuals?"

EXG-wear

Market suggested retail price Price per unit or service price per usage/terms (USD). Subsidies noted.

Not advertised, preorder possible

Competitive landscape Similar products available on the market. May not be a comprehensive listing.

DXC technology

SDG targeted United Nations Sustainable Development Goals (SDGs) targeted with this product/application/service

Goal 3: Good health and well-being

Goal 9: Industry, innovation and infrastructure

Target user(s) Target user/consumer base (country, income segment)

Disabled individuals

Manufacturing & delivery

Manufacturing/building method(s) Detail regarding solution production or construction method (instructions, mass production capacity, custom made,etc...)

The team developed their own patented Electroencephalogram (EEG) dry electrode sensors and microscale Bluetooth communication modules.

Product Intellectual Property Open source/IP protected (note patent)/trade secret/other?

Trademarked

User Provision Model Where can the product be purchased/acquired by end users?

Directly from manufacturer

Distribution to date Number of units that have been deployed, downloads or users to date

Unknown

Performance & use

Fields marked are sourced values that have been evaluated by the manufacturer or a third party, all others are design specifications.

Telecommunication service required (Y/N)

Telecommunication service required for the product/service to work (Mobile data, SMS, voice, Internet, Other)

Communication protocol used

Local network communication protocol used aside from the telecommunications required (Wifi, bluetooth, Radio frequency, Zigbee, Other)

Bluetooth

Permanent network connectivity required (Y[specify]/N)

Device features required for the product/service to work.

Type of data collected

Text, Numbers, Multimedia (Photos, video, audio, etc), Geolocation, Sensor readings, Other

Raw signals of eye and facial activities

Propietary hardware used (Y/N)

List what type of hardware components/devices are used in this IoT solyution (Proprietary, Non Proprietary [Raspberry Pi, Arduino, other])Display order

Yes

Sensors used (Y/N)

If Yes, specify the type and quantity of sensors used for the product to deliver the service

Yes, the device uses non-invasive biosensors

Open source code (Y/N)

Is the code of this project open source?

Open source data (Y/N/ Other)

Is the data from this project publically available?

Operating system and version

Android, IOs, Windows, Not applicable, or other [specify]

Unknown

Power requirements

Batteries, Uninterrupted prower supply (UPS), solar energy, Other [specify]

Unknown

Application

Assistive technologies, smart devices, virtual reality

Remote system diagnostics available (Y/N)

Design specifications Component and Operation overview including power, portability, facility requirements, preventative maintenance and user training requirements

Product schematics Design and assembly illustrations

Technical support Technical support provided by

From manufacturer

Replacement components Availability of replacement components (in-country, by order,...)

None

Lifecycle Disposal and warranty

Unknown

Manufacturer specified performance targets Designer / Manufacturer specified targets

Assist people with disabilities and improve productivity with augmented sensing.

Vetted performance Findings of manufacturer evaluations or independent testing centers

The classification of the eye and facial gestures under the developed machine learning algorithm can reach to above 95% accuracy.

Testing organizations Independent lab, academic research centers, etc.

University of Pittsburgh

Safety Potential hazards / risks related to operation of this product

N/A

Complementary technical systems Performance of this product is improved with another technology (eg. Cookstoves and Wind-blocking skirts)

None

Research & standards

Academic research Academic research related to the product (e.g. published papers in peer-reviewed journals)

Compliance with regulations Product certifications and standards referenced by designer/manufacturer

Unknown

Evaluation methods Evaluation methods/protocols/guidelines referenced by designer or manufacturer.

Academic research: several papers evaluated the accuracy of the machine learning algorithm that classifies human gestures into interaction with the device.

Other information

None

Feedback

In context photographs (0)

You can use the form below to contribute a photo of this product.

In context files & documents (0)

Feedback from users, customers & distributors

Please let us know your experience in using this product through comments below.

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EXGbuds

Ker-Jiun Wang

In context photographs (0)

In context files & documents (0)

Feedback from users, customers & distributors