TY - GEN
T1 - Capacitive sensing 3D-printed wristband for enriched hand gesture recognition
AU - Truong, Hoang
AU - Nguyen, Phuc
AU - Nguyen, Anh
AU - Bui, Nam
AU - Vu, Tam
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/6/19
Y1 - 2017/6/19
N2 - In this work, we design a wearable-form hand gesture recognition system using capacitive sensing technique. Our proposed system includes a 3D printed wristband, capacitive sensors arrays in a flexible circuit board, a low-cost micro-controller unit and wireless communication module (BLE). In particular, the wristband manipulates the changes in capacitance from multiple capacitive sensors to recognize and detect users' hand gestures. The software stack translates the detected gestures into control command for application layer, together with an user-friendly web interface that supports both data communication and training between the wristband and the host PC. We also release an open API of our designed system for future applications. Lastly, we envision our system open API will be available for developers to customize vast range of hand gesture and integrate the wristband into various applications, from command on remote computer to video game controller.
AB - In this work, we design a wearable-form hand gesture recognition system using capacitive sensing technique. Our proposed system includes a 3D printed wristband, capacitive sensors arrays in a flexible circuit board, a low-cost micro-controller unit and wireless communication module (BLE). In particular, the wristband manipulates the changes in capacitance from multiple capacitive sensors to recognize and detect users' hand gestures. The software stack translates the detected gestures into control command for application layer, together with an user-friendly web interface that supports both data communication and training between the wristband and the host PC. We also release an open API of our designed system for future applications. Lastly, we envision our system open API will be available for developers to customize vast range of hand gesture and integrate the wristband into various applications, from command on remote computer to video game controller.
KW - 3D-printed wearable
KW - Capacitive sensing
KW - Hand gesture recognition
UR - http://www.scopus.com/inward/record.url?scp=85025702815&partnerID=8YFLogxK
U2 - 10.1145/3089351.3089359
DO - 10.1145/3089351.3089359
M3 - Conference contribution
AN - SCOPUS:85025702815
T3 - WearSys 2017 - Proceedings of the 2017 Workshop on Wearable Systems and Applications, co-located with MobiSys 2017
SP - 11
EP - 15
BT - WearSys 2017 - Proceedings of the 2017 Workshop on Wearable Systems and Applications, co-located with MobiSys 2017
PB - Association for Computing Machinery, Inc
T2 - 3rd ACM Workshop on Wearable Systems and Applications, WearSys 2017
Y2 - 19 June 2017
ER -