Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer

Activity recognition is required in various applications such as medical monitoring and rehabilitation. Previously developed activity recognition systems utilizing triaxial accelerometers have provided mixed results, with subject-to-subject variability. This paper presents an accurate activity recog...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 61; H. 6; S. 1780 - 1786
Hauptverfasser:	Gupta, Piyush, Dallas, Tim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Accelerometer Accelerometers Accelerometry - instrumentation Accuracy Activities of Daily Living - classification activity recognition Adult Algorithms Bayes Theorem Classification detrended fluctuation analysis (DFA) error estimates feature selection Female Fluctuations Humans k -nearest neighbor ( k -NN) classifier leave-one-person-out (LOO) error Legged locomotion Male Monitoring Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - methods Motor Activity - physiology Naïve Bayes classifier Neural Networks (Computer) Patients Position (location) Recognition Relief-F algorithm Searching sequential forward floating search (SFFS) wrapper algorithm Time series analysis Young Adult
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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