Скачать или смотреть Probabilistic Approach based on Distance Metric & Distribution Function for Postures Classification

"A Probabilistic Approach Based on Combination of Distance Metrics and Distribution Functions for Human Postures Classification", IEEE RO-MAN 2023, (2023/08/30).

((Subject/Topic)) Human pose estimation.
((Purpose/Aim)) Human Postures Classification.
((Approach/Idea)) A Probabilistic Approach Based on Combination of Distance Metrics and Distribution Functions
((Result)) Details are shown on the following paper(s):
Xin He, Vibekananda Dutta, Teresa Zielinska, Takafumi Matsumaru: "A Probabilistic Approach Based on Combination of Distance Metrics and Distribution Functions for Human Postures Classification", The 32nd IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2023), [Paradise Hotel, Busan, South Korea] (28-31 August 2023), pp.1514-1521 (8 pages), (2023.08.30.Wed). DOI: 10.1109/RO-MAN57019.2023.10309359
WeBT4: Human Factors and Ergonomics II, Chair: Tatsuya Nomura (Ryukoku University), Room: T4, 11h30-12h50 WeBT4 (8/8)
https://ieeexplore.ieee.org/document/...
((Date)) 2023.08.30.
((Copyright)) Bio-Robotics and Human-Mechatronics Laboratory (BRHM lab) (Takafumi Matsumaru Laboratory), Graduate School of Information, Production and Systems (IPS), Waseda University.
https://sem-matsumaru.w.waseda.jp/
https://matsumaru.w.waseda.jp/
((Keywords)) Human, Posture classification, Pose recognition, probabilistic neural network (PNN), probabilistic distribution function (PDF), k nearest neighbors (kNN), Gray wolf optimization (GWO), RGB-D, Takafumi, Matsumaru, Waseda University, 松丸, 隆文, 早稲田, 大学