TY - GEN
T1 - Cushion interface for smart home control
AU - Suzuki, Yuri
AU - Kato, Kaho
AU - Furui, Naomi
AU - Sakamoto, Daisuke
AU - Sugiura, Yuta
N1 - Funding Information:
This work was supported by JST AIP-PRISM JPMJCR18Y2 and JST PRESTO JPMJPR17J4.
Publisher Copyright:
© 2020 Association for Computing Machinery.
PY - 2020/2/6
Y1 - 2020/2/6
N2 - In this research, we present a cushion interface for operating smart home applications.We developed a gesture recognition system using convolutional neural networks and embedded the acceleration sensor arrays in the cushion cover. To evaluate the system, we conducted experiments and measured recognition accuracy.
AB - In this research, we present a cushion interface for operating smart home applications.We developed a gesture recognition system using convolutional neural networks and embedded the acceleration sensor arrays in the cushion cover. To evaluate the system, we conducted experiments and measured recognition accuracy.
KW - Multiple Sensors
KW - Soft User Interface
KW - Tangible User Interface
UR - http://www.scopus.com/inward/record.url?scp=85082468040&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082468040&partnerID=8YFLogxK
U2 - 10.1145/3374920.3374974
DO - 10.1145/3374920.3374974
M3 - Conference contribution
AN - SCOPUS:85082468040
T3 - TEI 2020 - Proceedings of the 14th International Conference on Tangible, Embedded, and Embodied Interaction
SP - 467
EP - 472
BT - TEI 2020 - Proceedings of the 14th International Conference on Tangible, Embedded, and Embodied Interaction
PB - Association for Computing Machinery, Inc
T2 - 14th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2020
Y2 - 9 February 2020 through 12 February 2020
ER -