Collecting complex activity datasets in highly rich networked sensor environments

INSS 2010 - 7th International Conference on Networked Sensing Systems

Volumn , Issue , 2010, Pages 233-240

  Roggen, Daniel ^a   Calatroni, Alberto ^a   Rossi, Mirco ^a   Holleczek, Thomas ^a   Förster, Kilian ^a   Tröster, Gerhard ^a   Lukowicz, Paul ^b   Bannach, David ^b   Pirkl, Gerald ^b   Ferscha, Alois ^b   Doppler, Jakob ^b   Holzmann, Clemens ^b   Kurz, Marc ^b   Holl, Gerald ^b   Chavarriaga, Ricardo ^c   Sagha, Hesam ^c   Bayati, Hamidreza ^c   Creatura, Marco ^d   Del R Millàn, Jose ^c  

^a ETH ZURICH   (Switzerland)

^b JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^c SWISS FEDERAL INSTITUTE OF TECHNOLOGY   (Switzerland)

^d UNIVERSITY OF GENOA   (Italy)

Author keywords

Activity recognition dataset; Human behavior recognition; Machine learning; Pattern classification; Ubiquitous computing; Wearable computing

Indexed keywords

DATA SETS; HUMAN BEHAVIOR RECOGNITION; MACHINE-LEARNING; PATTERN CLASSIFICATION; WEARABLE COMPUTING;

BEHAVIORAL RESEARCH; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; TELEPHONE SYSTEMS; UBIQUITOUS COMPUTING; WEARABLE COMPUTERS;

SENSORS;

EID: 78149236604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INSS.2010.5573462     Document Type: Conference Paper

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