Extracting features of body sway for baggage weight classification
[Abstract]
We propose a method for extracting features of body sway to classify the weight of baggage carried by a person as heavy or light by using a video sequence of depth images. The slight swaying movement naturally occurring in the body can be measured using a video sequence of a standing person acquired using an overhead camera. We hypothesize that body sway varies with the weight of the baggage carried by a person. Our method extracts a temporal feature of body sway used to discriminate between people carrying light and heavy baggage using a frequency analysis technique. We collected a dataset of video sequences for an experiment to test the proposed method to classify the weight of baggage. The results confirmed that feature extraction using body sway can help classify baggage as light or heavy.
[Publications]
- 山口 優太，中山 晴貴，神谷 卓也, 西山 正志, 岩井 儀雄, 櫛田 大輔,
身体動揺の時系列深度画像における時間手掛りを用いた手荷物の軽重認識,
精密工学会誌, vol. 88, no. 1, pp. 91 - 101, January 2022.- Yuta Yamaguchi, Takuya Kamitani, Masashi Nishiyama, Yoshio Iwai, Daisuke Kushida,
Extracting features of body sway for baggage weight classification,
Proceedings of IEEE 9th Global Conference on Consumer Electronics (GCCE), OS-QOL.6, pp. 443 - 446, October 2020.
[Short movie]
