GaitMotion: A Multitask Dataset for Pathological Gait Forecasting

arXiv:2405.09569v1 Announce Type: cross
Abstract: Gait benchmark empowers uncounted encouraging research fields such as gait recognition, humanoid locomotion, etc. Despite the growing focus on gait analysis, the research community is hindered by the limitations of the currently available databases, which mostly consist of videos or images with limited labeling. In this paper, we introduce GaitMotion, a multitask dataset leveraging wearable sensors to capture the patients' real-time movement with pathological gait. This dataset offers extensive ground-truth labeling for multiple tasks, including …

abstract analysis arxiv benchmark community cs.lg databases dataset eess.sp etc fields focus forecasting humanoid images labeling limitations paper recognition research research community type videos