A dynamic time warping approach to real-time activity recognition for food preparation

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

Volumn 6439 LNCS, Issue , 2010, Pages 21-30

  Pham, Cuong ^a   Plötz, Thomas ^a   Olivier, Patrick ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; CLASSIFICATION APPROACH; CLASSIFICATION RESULTS; DATA SETS; DYNAMIC TIME WARPING; FOOD PREPARATION; GENERALIZATION CAPABILITY; LOW LATENCY; REAL-WORLD; REAL-WORLD SCENARIO; SENSOR DATA; SENSOR READINGS; TEMPLATE DATABASE; TRAINING SAMPLE; REAL-TIME ACTIVITY RECOGNITION;

ACCELEROMETERS; ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; SENSORS; TOOLS; CLASSIFICATION (OF INFORMATION); PATTERN RECOGNITION; SAMPLING;

CLASSIFICATION (OF INFORMATION); AMBIENT INTELLIGENCE;

EID: 78649527329     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16917-5_3     Document Type: Conference Paper

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