"Commercially available motion capture systems are expensive, can have rigid, non-breathable materials with moderate to strong compression, and are not aesthetically appealing to be worn in everyday life. This study aimed to investigate the feasibility of using fabric-based radio frequency identification (RFID) tags for received signal strength indicator (RSSI) human position-sensing classification using artificial neural networks. Concealing fabric-based antennas into wearable garments presents the opportunity for human-sensing applications to work in tandem with outpatient healthcare and virtual reality entertainment systems."
