Stanford Wearable Electronics Initiative
eWEAR Seminar Monday, April 27, 2026 You must be a paid member of the affiliate program to view the content. Please contact Angela McIntyre to get information on membership costs and benefits.
We are pleased to provide the 2025 Annual Report for the Stanford Wearable Electronics (eWEAR-X) Initiative.  Learn about flagship projects in the Chen Ideation and Prototyping Lab related to health sensing, human-machine interfaces, and robotics.  Find out about the many start-ups that participated in the eWEAR-X Health Prize and how the yearly event fosters deep tech entrepr…
If you have an account, you can login below. Event content is password protected. Please contact wearable-electronics@stanford.edu for information about receiving a user account.
We welcome you to join us in-person and on Zoom for our April eWEAR Seminar. Date: Monday, April 27, 2026 Time: 12:30 pm to 1:30 pm PDT Location: Y2E2 299 & Zoom Registration: Please click here to register Lunch will be provided at 12:00pm for in-person attendees & a chance to talk with the speaker after the seminar. “CMOS Integrated Circuits: A Versatile Platform for Affordable, Low-Power Biomed…
If you have an account, you can login below. Event content is password protected. Please contact wearable-electronics@stanford.edu for information about receiving a user account.
If you have an account, you can login below. Event content is password protected. Please contact wearable-electronics@stanford.edu for information about receiving a user account.
Symposium & Demos for the Chen IPL & eWEAR-X Thursday, March 12, 2026 In-Person
Prof. Zhenan Bao, Prof. Scott Delp et al introduce a Gen-AI learning framework that predicts muscle activity in regions not covered by the compact sensor, allowing simple EMG wearables to produce rich information.
Seminar Monday, February 23, 2026 12:30pm - 1:30pm PST Hybrid
Seminar Tuesday, January 20, 2026 10:30am - 11:30am PST Hybrid
Congratulations to the winner of the 2025 eWEAR Health Prize @Stanford U., Model Health! Overview: Model Health enables the capture and analysis of objective, standardized, and comprehensive movement data using only standard smartphone video. Combining AI with biomechanics, it empowers sports and clinical professionals to enhance rehabilitation outcomes and human performance with objective, clini…
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