Deep Full-Body Motion Network for a Soft Wearable Motion Sensing Suit

• Published in: IEEE/ASME transactions on mechatronics Vol. 24; no. 1; pp. 56 - 66
• Main Authors: Kim, Dooyoung, Kwon, Junghan, Han, Seunghyun, Park, Yong-Lae, Jo, Sungho
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Body motion tracking; Body parts; Calibration; Capacitive sensors; deep learning; Detection; Machine learning; Mapping; Power consumption; Redundancy; Sensor phenomena and characterization; Sensors; Shoulder; Signal processing; soft sensors; soft wearables; Stretchability; Tracking; Wearable sensors

Soft sensors are becoming more popular in wearables as a means of tracking human body motions due to their high stretchability and easy wearability. However, previous research not only was limited to only certain body parts, but also showed problems in both calibration and processing of the sensor s...