000 01368nam a2200133Ia 4500
008 220620s9999||||xx |||||||||||||| ||und||
020 _a9783040000000
245 0 _aRecent Advances in Motion Analysis
546 _aEnglish[eng]
650 _afalls||slips||trips||postural perturbations||wearables||stretch-sensors||ankle kinematics||rowing||technology||inertial sensor||accelerometer||performance||signal processing||sEMG||knee||random forest||principal component analysis||back propagation||estimation model||knee angle||deep learning||neural networks||gait-phase classification||electrogoniometer||EMG sensors||walking||gait-event detection||automotive radar||machine learning||walking analysis||seated posture||cognitive engagement||stress level||load cells||embedded systems||sensorized seat||flexion-relaxation phenomenon||surface electromyography||wearable device||WBSN||automatic detection of the FRP||Internet of Things (IoT)||human activity recognition (HAR)||motion analysis||wearable sensors||cerebral palsy||hemiplegia||motor disorders||gait variability||coefficient of variation||surface EMG||statistical gait analysis||activation patterns||co-activation||Parkinson’s disease||activity recognition||rate invariance||Lie group
700 _aDi Nardo, Francesco||Fioretti, Sandro
856 _uhttps://mdpi.com/books/pdfview/book/3661
942 _cEB
999 _c34207
_d34207