Improving online gesture recognition with template matching methods in accelerometer data

International Conference on Intelligent Systems Design and Applications, ISDA

Volumn , Issue , 2012, Pages 831-836

  Nguyen Dinh, Long Van ^a   Roggen, Daniel ^a   Calatroni, Alberto ^a   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

LCSS; Online Activity Recognition; Template Matching Method; WarpingLCSS

Indexed keywords

ACCELEROMETER DATA; BOUNDARY NOISE; DYNAMIC TIME WARPING; LCSS; LONGEST COMMON SUBSEQUENCES; LOW-RESOURCE SETTINGS; MOTION SENSORS; ON DYNAMICS; ONLINE ACTIVITIES; REAL-WORLD; SENSOR READINGS; SLIDING WINDOW; TEMPLATE MATCHING METHOD; UNKNOWN BOUNDARY; WARPINGLCSS; WEARABLE DEVICES;

ACCELEROMETERS; GESTURE RECOGNITION; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; SENSORS; SYSTEMS ANALYSIS; TEMPLATE MATCHING;

RADAR TARGET RECOGNITION;

EID: 84874391184     PISSN: 21647143     EISSN: 21647151     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2012.6416645     Document Type: Conference Paper

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