Indoor activity recognition by combining One-vs.-All neural network classifiers exploiting wearable and depth sensors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7903 LNCS, Issue PART 2, 2013, Pages 216-223

  Delachaux, Benoît ^a   Rebetez, Julien ^a   Perez Uribe, Andres ^a   Satizábal Mejia, Héctor Fabio ^a  

^a UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

Author keywords

Activity recognition; Artificial neural networks; Depth sensors; One vs all binary classifier fusion; Smart home; Wireless sensors

Indexed keywords

ACTIVITY RECOGNITION; BINARY CLASSIFIERS; DEPTH SENSORS; SMART HOMES; WIRELESS SENSOR;

AUTOMATION; INTELLIGENT BUILDINGS; NEURAL NETWORKS; PATTERN RECOGNITION;

SENSORS;

EID: 84880048285     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38682-4_25     Document Type: Conference Paper

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