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