A Framework For Gait-Based User Demography Estimation Using Inertial Sensors

arXiv:2402.09761v1 Announce Type: cross
Abstract: Human gait has been shown to provide crucial motion cues for various applications. Recognizing patterns in human gait has been widely adopted in various application areas such as security, virtual reality gaming, medical rehabilitation, and ailment identification. Furthermore, wearable inertial sensors have been widely used for not only recording gait but also to predict users' demography. Machine Learning techniques such as deep learning, combined with inertial sensor signals, have shown promising results in recognizing patterns …

abstract application applications arxiv cs.hc cs.lg eess.sp framework gaming human identification medical patterns reality security sensors type virtual virtual reality wearable