Performance analysis of an HMM-based gesture recognition using a wristwatch device

Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009

Volumn 2, Issue , 2009, Pages 303-309

  Amstutz, Roman ^a   Amft, Oliver ^a,b   French, Brian ^c   Smailagic, Asim ^b   Siewiorek, Dan ^b   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Algorithm implementation; Event spotting; Ewatch; Intelligent wristwatch; Mobile interaction; Recognition performance

Indexed keywords

ACCELERATION DATA; ALGORITHM IMPLEMENTATION; ALGORITHMIC SOLUTIONS; DISPLAY SIZE; FEATURE COMPUTATION; HAND MOVEMENT; MEMORY USAGE; MOBILE INTERACTION; OPTIMIZED IMPLEMENTATION; PERFORMANCE ANALYSIS; PROCESSING CAPABILITY; RECOGNITION PERFORMANCE; VITERBI PATH;

ALGORITHMS; CONSTRAINED OPTIMIZATION; HIDDEN MARKOV MODELS; MOBILE DEVICES; UBIQUITOUS COMPUTING; WATCHES;

GESTURE RECOGNITION;

EID: 70749104614     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSE.2009.58     Document Type: Conference Paper

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