Agriculture
September 5, 2019
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.
Distributors / Implementing Organizations
Manufacturing/Building Method
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.
Intellectural Property Type
Trademarked
User Provision Model
Directly from manufacturer
Distributions to Date Status
Unknown
Design Specifications
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.
Technical Support
From manufacturer
Replacement Components
None
Lifecycle
Unknown
Manufacturer Specified Performance Parameters
Assist people with disabilities and improve productivity with augmented sensing.
Vetted Performance Status
The classification of the eye and facial gestures under the developed machine learning algorithm can reach to above 95% accuracy.
Safety
N/A
Complementary Technical Systems
None
Academic Research and References
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
Unknown
Other Information
None
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