TY - JOUR
T1 - Human movement recognition using internal sensors of a smartphone-based HMD
AU - Matsui, Ryota
AU - Kato, Kaho
AU - Sugiura, Yuta
N1 - Funding Information:
This work was supported by JST AIP-PRISM Grant Number JPMJCR18Y2.
Publisher Copyright:
© 2020 ITE and SID.
PY - 2021/12/9
Y1 - 2021/12/9
N2 - This paper aims to recognize human movements using the internal sensors of a smartphone-based head-mounted display (HMD). The internal sensors of the smartphone are used to recognize human movements, such as jumping and turning. In our experiment, the average movement recognition accuracy for 16 movements was 92.03%.
AB - This paper aims to recognize human movements using the internal sensors of a smartphone-based head-mounted display (HMD). The internal sensors of the smartphone are used to recognize human movements, such as jumping and turning. In our experiment, the average movement recognition accuracy for 16 movements was 92.03%.
KW - Interaction
KW - Movement Recognition
KW - Sensor
KW - Smartphone
KW - Virtual Reality
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M3 - Conference article
AN - SCOPUS:85119977630
SN - 1883-2490
VL - 27
SP - 935
EP - 938
JO - Proceedings of the International Display Workshops
JF - Proceedings of the International Display Workshops
T2 - 27th International Display Workshops, IDW 2020
Y2 - 9 December 2020 through 11 December 2020
ER -