Sensing strides using EMG signal for pedestrian navigation

GPS Solutions

Volumn 15, Issue 2, 2011, Pages 161-170

  Chen, Ruizhi ^a,c   Chen, Wei ^a,b   Chen, Xiang ^b   Zhang, Xu ^b   Chen, Yuwei ^a  

^a FINNISH GEODETIC INSTITUTE   (Finland)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Electromyography (EMG); Pedestrian dead reckoning (PDR); Stride detection; Stride length estimation

Indexed keywords

ACTION POTENTIALS; AMBIENT ENVIRONMENT; DEAD RECKONING; DIGITAL COMPASS; EARTH GRAVITY FIELD; EMG SIGNAL; FIELD TEST; GLOBAL NAVIGATION SATELLITE SYSTEMS; GLOBAL POSITIONING; GNSS RECEIVERS; HUMAN BODIES; INDOOR ENVIRONMENT; INDOOR/OUTDOOR; LOCATION-BASED SERVICES; MICRO ELECTRO MECHANICAL SYSTEM; MOBILE USERS; MUSCLE CONTRACTIONS; PEDESTRIAN NAVIGATION; SMART PHONES; STRIDE DETECTION; STRIDE LENGTH; STRIDE LENGTH ESTIMATION; TEST RESULTS; URBAN CANYONS;

ACCELEROMETERS; COMPASSES (MAGNETIC); ELECTROPHYSIOLOGY; ESTIMATION; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; GRAVITATION; MICROELECTROMECHANICAL DEVICES; NAVIGATION; NAVIGATION SYSTEMS; SENSORS; SIGNAL DETECTION;

GLOBAL POSITIONING SYSTEM;

CANYON; GNSS; GPS; GRAVITY FIELD; MOBILE COMMUNICATION; MUSCLE; NAVIGATION; PEDESTRIAN; SIGNAL; URBAN REGION;

GYROS;

EID: 79953161989     PISSN: 10805370     EISSN: 15211886     Source Type: Journal    
DOI: 10.1007/s10291-010-0180-x     Document Type: Article

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