Mobile sensing of pedestrian flocks in indoor environments using WiFi signals

2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012

Volumn , Issue , 2012, Pages 95-102

  Kjaergaard, Mikkel Baun ^a   Wirz, Martin ^a   Roggen, Daniel ^a   Troster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

crowd behavior sensing; mobile sensing; pattern recognition; signal strength based methods

Indexed keywords

AUTOMATIC DETECTION; CLUSTERING APPROACH; CROWD BEHAVIOR; DATA SETS; F-MEASURE; FEATURE SETS; HUMAN MOVEMENTS; INDOOR ENVIRONMENT; MOBILE SENSING; RESEARCH STUDIES; SIGNAL STRENGTH-BASED METHODS; WI-FI SIGNALS;

PATTERN RECOGNITION; RESEARCH; SIGNAL DETECTION; UBIQUITOUS COMPUTING; WI-FI;

BEHAVIORAL RESEARCH;

EID: 84861619879     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerCom.2012.6199854     Document Type: Conference Paper

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