Robust human intensity-varying activity recognition using Stochastic Approximation in wearable sensors

2013 IEEE International Conference on Body Sensor Networks, BSN 2013

Volumn , Issue , 2013, Pages

  Alshurafa, Nabil ^a   Xu, Wenyao ^a   Liu, Jason J ^a   Huang, Ming Chun ^a   Mortazavi, Bobak ^a   Sarrafzadeh, Majid ^a   Roberts, Christian ^b  

^a Engineering IV   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Classification; Clustering; Intensity Varying Activity; Mixture Models; Stochastic Approximation Model

Indexed keywords

CLASSIFICATION SCHEME; CLUSTERING; CLUSTERING TECHNIQUES; GAUSSIAN MIXTURE MODEL; METABOLIC EQUIVALENTS; MIXTURE MODEL; STOCHASTIC APPROXIMATION ALGORITHMS; STOCHASTIC APPROXIMATIONS;

APPROXIMATION ALGORITHMS; BODY SENSOR NETWORKS; CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; PATTERN RECOGNITION; SENSORS;

APPROXIMATION THEORY;

EID: 84884610323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2013.6575515     Document Type: Conference Paper

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