Unsupervised classifier self-calibration through repeated context occurences: Is there robustness against sensor displacement to gain?

Proceedings - International Symposium on Wearable Computers, ISWC

Volumn , Issue , 2009, Pages 77-84

  Förster, Kilian ^a   Roggen, Daniel ^a   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CONTEXT RECOGNITION; CONTEXT-AWARE SYSTEMS; DATA SETS; DECISION BOUNDARY; FEATURE SPACE; ON-BODY; ONLINE LEARNING; PHYSICAL ACTIVITY; REAL-WORLD; ROBUST RECOGNITION; SELF CALIBRATION; SELF-CALIBRATION ALGORITHMS; SENSOR DISPLACEMENT; SENSOR PLACEMENT; SENSOR POSITION;

CALIBRATION; CLASSIFIERS; INTERNET; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOBILE COMPUTING; WEARABLE COMPUTERS;

SENSORS;

EID: 70450179606     PISSN: 15504816     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISWC.2009.12     Document Type: Conference Paper

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