Combined passive radiofrequency identification and machine learning technique to recognize human motion

European Microwave Week 2014: Connecting the Future, EuMW 2014 - Conference Proceedings; EuMC 2014: 44th European Microwave Conference

Volumn , Issue , 2014, Pages 1044-1047

  Amendola, Sara ^a   Bianchi, Luigi ^a   Marrocco, Gaetano ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Body motion; classification; passive RFID sensors; wearable antennas Machine Learning; Werable Antennas

Indexed keywords

CLASSIFICATION (OF INFORMATION); ELECTROMAGNETIC FIELDS; MOTION ESTIMATION; RADIO FREQUENCY IDENTIFICATION (RFID); SUPPORT VECTOR MACHINES; TRANSPONDERS; WEARABLE ANTENNAS;

BODY MOTIONS; ELECTROMAGNETIC SIGNALS; MACHINE LEARNING TECHNIQUES; MACHINE LEARNING TECHNOLOGY; PASSIVE RFID; PASSIVE TRANSPONDER; RADIO-FREQUENCY-IDENTIFICATION TAGS (RFID); SUPPORT VECTOR MACHINE ALGORITHM;

LEARNING SYSTEMS;

EID: 84929251213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EuMC.2014.6986617     Document Type: Conference Paper

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