作者: Ahmad Rezaei , Tyler J. Cuthbert , Mohsen Gholami , Carlo Menon
DOI: 10.3390/S19194288
关键词: Rotation (mathematics) 、 Wearable technology 、 Kinematics 、 Acoustics 、 Consistency (statistics) 、 Piezoresistive effect 、 Fiber 、 Computer science 、 Signal
摘要: Wearable electronics are recognized as a vital tool for gathering in situ kinematic information of human body movements. In this paper, we describe the production core–sheath fiber strain sensor from readily available materials one-step dip-coating process, and demonstrate development smart sleeveless shirt measuring angles trunk relative to pelvis complicated three-dimensional The sensor’s piezoresistive properties characteristics were studied with respect type core material used. Sensor performance was optimized by straining above intended working region increase consistency accuracy sensor. when tracking random movements tested using rigorous 4-h wave pattern mimic what would be required satisfactory use prototype devices. By processing raw signal machine learning algorithm, able track patterns normalized root mean square error 1.6%, highlighting reproducible behavior relatively simple Then, evaluated these sensors motion capture shirt, study 12 participants performing set eight different types uniaxial multiaxial A forest regressor model estimated flexion, lateral bending, rotation errors 4.26°, 3.53°, 3.44° respectively. These results feasibility textiles capturing solution real-time monitoring daily activities.