A Wearable Multidimensional Motion Sensor for AI-Enhanced VR Sports

Regular exercise paves the way to a healthy life.However,conventional sports events are susceptible to weather conditions.Current motion sensors for home-based sports are mainly limited by operation power consumption,single-direction sensitivity,or inferior data analysis.Herein,by leveraging the 3-dimensional printing technique and triboelectric effect,a wearable self-powered multidimensional motion sensor has been developed to detect both the vertical and planar movement trajectory.By integrating with a belt,this sensor could be used to identify some low degree of freedom motions,e.g.,waist or gait motion,with a high accuracy of 93.8%.Furthermore,when wearing the sensor at the ankle position,signals generated from shank motions that contain more abundant information could also be effectively collected.By means of a deep learning algorithm,the kicking direction and force could be precisely differentiated with an accuracy of 97.5%.Toward practical application,a virtual reality-enabled fitness game and a shooting game were successfully demonstrated.This work is believed to open up new insights for the development of future household sports or rehabilitation.