TY - GEN
T1 - Gesture recognition of air-tapping and its application to character input in VR space
AU - Hirota, Mamoru
AU - Yokoyama, Masayuki
AU - Tsuboi, Ayumu
AU - Yanagisawa, Masao
N1 - Publisher Copyright:
© 2018 Copyright held by the owner/author(s).
PY - 2018/12/4
Y1 - 2018/12/4
N2 - The motion of the finger is made up of a combination of forearm part (extrinsic) muscles and hand part (intrinsic) muscles. We have created a wearable fingerless glove controller to sense sEMG(surface Electromyography) from intrinsic muscles using dry electrodes [Tsuboi et al. 2017].Recognition of air-tapping gesture with a sensor attached to wearable finger-less glove controller is a challenging problem. In this study, we focused on motion recognition of air-tapping and performed motion recognition using CNN and evaluated its accuracy. As a result, the accuracy in intra-subject identification was 85.05%. Also, experiments are currently being conducted in anticipation of character input in VR space [Grubert et al. 2018]. Character input experiment in VR space was carried out using sEMG wearable fingerless glove controller, as a primitive experiment of the use of sEMG glove in VR space. Based on the results, we discussed the efficiency of character input using sEMG glove in VR space.
AB - The motion of the finger is made up of a combination of forearm part (extrinsic) muscles and hand part (intrinsic) muscles. We have created a wearable fingerless glove controller to sense sEMG(surface Electromyography) from intrinsic muscles using dry electrodes [Tsuboi et al. 2017].Recognition of air-tapping gesture with a sensor attached to wearable finger-less glove controller is a challenging problem. In this study, we focused on motion recognition of air-tapping and performed motion recognition using CNN and evaluated its accuracy. As a result, the accuracy in intra-subject identification was 85.05%. Also, experiments are currently being conducted in anticipation of character input in VR space [Grubert et al. 2018]. Character input experiment in VR space was carried out using sEMG wearable fingerless glove controller, as a primitive experiment of the use of sEMG glove in VR space. Based on the results, we discussed the efficiency of character input using sEMG glove in VR space.
KW - Finger Gesture Recognition，I/F
KW - Interface
KW - SEMG
KW - VR
UR - http://www.scopus.com/inward/record.url?scp=85060140100&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060140100&partnerID=8YFLogxK
U2 - 10.1145/3283289.3283335
DO - 10.1145/3283289.3283335
M3 - Conference contribution
AN - SCOPUS:85060140100
T3 - SIGGRAPH Asia 2018 Posters, SA 2018
BT - SIGGRAPH Asia 2018 Posters, SA 2018
PB - Association for Computing Machinery, Inc
T2 - SIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018
Y2 - 4 December 2018 through 7 December 2018
ER -