A novel pedestrian dead reckoning algorithm using wearable EMG sensors to measure walking strides

2010 Ubiquitous Positioning Indoor Navigation and Location Based Service, UPINLBS 2010

Volumn , Issue , 2010, Pages

  Wang, Qian ^a   Zhang, Xu ^a   Chen, Xiang ^a   Chen, Ruizhi ^b   Chen, Wei ^a,b   Chen, Yuwei ^b  

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

^b FINNISH GEODETIC INSTITUTE   (Finland)

Author keywords

Activity classification; Electromyography; Pedestrian dead reckoning; Wearable sensors

Indexed keywords

ACTIVITY CLASSIFICATION; BIOMEDICAL SIGNAL; DIGITAL COMPASS; ELECTRICAL POTENTIAL; FIELD TEST; GPS SIGNALS; HUMAN BODIES; HUMAN LOCOMOTIONS; HUMAN WALKING; HUMAN WALKING CHARACTERISTICS; MUSCLE ACTIVITIES; MUSCLE CONTRACTIONS; PEDESTRIAN DEAD RECKONING SYSTEMS; PEDESTRIAN DEAD RECKONINGS; PERSONAL NAVIGATION; PILOT STUDIES; SAMPLE ENTROPY; STATISTICAL PARAMETERS; STEP LENGTH; STEP LENGTH ESTIMATIONS; TWO-AXIS; URBAN CANYONS; WALKING STEPS; WEARABLE SENSORS;

EXTRACTION; HIDDEN MARKOV MODELS; MUSCLE; NAVIGATION; SENSORS; TELECOMMUNICATION SERVICES;

GLOBAL POSITIONING SYSTEM;

EID: 78651448684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UPINLBS.2010.5653821     Document Type: Conference Paper

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