TY - GEN
T1 - FirsTVR
T2 - 2nd International Conference on Electronics, Communications and Control Engineering, ICECC 2019
AU - Tamaki, Emi
AU - Hosono, Satoshi
AU - Iwasaki, Ken
N1 - Publisher Copyright:
© 2019 Copyright is held by the owner/author(s).
PY - 2019/4/13
Y1 - 2019/4/13
N2 - Hand gesture input has been of growing importance in 3D content and VR/AR. However, a hand gesture detection system by camera was small in scope. And EMG was affected by noise from other electronic devices. Muscle deformation sensor system could only detect large muscles deformation related to wrist gestures because the sensor is covered to prevent light leakage noise. In this research, a device that covers the only sensor side circularly as light noise reduction case and has 14ch photo reflector sensors can detect small muscles deformation: FirstVR is suggested (Fig1, 2). Results of our experiment shows that recognition accuracy average of more than 90% is achieved with three types of PIP joint angles. In the future, FirstVR is expected to be used not only for content inputting finger movements indoors and outdoors but also for muscle displacement recording system.
AB - Hand gesture input has been of growing importance in 3D content and VR/AR. However, a hand gesture detection system by camera was small in scope. And EMG was affected by noise from other electronic devices. Muscle deformation sensor system could only detect large muscles deformation related to wrist gestures because the sensor is covered to prevent light leakage noise. In this research, a device that covers the only sensor side circularly as light noise reduction case and has 14ch photo reflector sensors can detect small muscles deformation: FirstVR is suggested (Fig1, 2). Results of our experiment shows that recognition accuracy average of more than 90% is achieved with three types of PIP joint angles. In the future, FirstVR is expected to be used not only for content inputting finger movements indoors and outdoors but also for muscle displacement recording system.
KW - Hand gesture
KW - Muscle deformation sensor array
KW - Noise reduction case
UR - http://www.scopus.com/inward/record.url?scp=85067847221&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067847221&partnerID=8YFLogxK
U2 - 10.1145/3324033.3324041
DO - 10.1145/3324033.3324041
M3 - Conference contribution
AN - SCOPUS:85067847221
T3 - ACM International Conference Proceeding Series
SP - 21
EP - 24
BT - Proceedings of the 2nd International Conference on Electronics, Communications and Control Engineering, ICECC 2019
PB - Association for Computing Machinery
Y2 - 13 April 2019 through 16 April 2019
ER -