March 19, 2024, 4:44 a.m. | Alexander Hoelzemann, Julia Lee Romero, Marius Bock, Kristof Van Laerhoven, Qin Lv

cs.LG updates on arXiv.org arxiv.org

arXiv:2305.13124v2 Announce Type: replace
Abstract: We present a benchmark dataset for evaluating physical human activity recognition methods from wrist-worn sensors, for the specific setting of basketball training, drills, and games. Basketball activities lend themselves well for measurement by wrist-worn inertial sensors, and systems that are able to detect such sport-relevant activities could be used in applications toward game analysis, guided training, and personal physical activity tracking. The dataset was recorded for two teams from separate countries (USA and Germany) with …

abstract arxiv basketball benchmark cs.hc cs.lg dataset games human measurement recognition sensors systems training type

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