Hierarchical activity recognition using automatically clustered actions

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

Volumn 7040 LNCS, Issue , 2011, Pages 82-91

  Van Kasteren, Tim L M ^a   Englebienne, Gwenn ^b   Kröse, Ben J A ^b  

^a BOGAZICI UNIVERSITY   (Turkey)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Activity Recognition; Hierarchical Models; Sensor Networks

Indexed keywords

ACTIVITY RECOGNITION; AMBIENT INTELLIGENCE; AUTOMATIC RECOGNITION; BEST FIT; DATA SETS; HIERARCHICAL MODEL; HIERARCHICAL STRUCTURES; HUMAN ACTIVITIES; POTENTIAL APPLICATIONS; PROBABILISTIC MODELS; REAL-WORLD DATASETS; RECOGNITION PERFORMANCE; SENSOR DATA; SEQUENCE OF ACTIONS; TWO LAYERS;

ARTIFICIAL INTELLIGENCE; HIERARCHICAL SYSTEMS; SENSOR NETWORKS;

SENSORS;

EID: 81855218072     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25167-2_9     Document Type: Conference Paper

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