Title :
Detection of daily movements from data collected with two tri-axial accelerometers
Author :
Ioana-Iuliana, Farkas ; Rodica-Elena, Doran
Author_Institution :
Fac. of Electron., Telecommun. & Inf. Technol., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
This paper presents a design for a classifier using detection and classification of eight daily movements data collected with two tri-axial accelerometers, one mounted on the right part of the hip and the other one mounted on the lower part of the right leg. This classifier gave good accuracy of 99.8% in controlled laboratory experiments, in which four healthy subjects carried out a set of eight basic movements.
Keywords :
accelerometers; biomechanics; biomedical measurement; data acquisition; pattern classification; classifier design; daily movements data; data collection; hip; right leg; tri axial accelerometers; Acceleration; Accelerometers; Accuracy; Face; Feature extraction; Pattern recognition; Support vector machine classification; acceleration data; activity recognition; feature extraction; tri-axial accelerometer;
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2011 34th International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-1410-8
DOI :
10.1109/TSP.2011.6043706
