Title :
Ultrasonic circular array sensing for human arm motion classification
Author :
van Sloun, Ruud ; Pandharipande, Ashish ; Caicedo, David ; Srinivasan, Sriram ; Sommen, Piet
Author_Institution :
Eindhoven Univ. of Technol., Eindhoven, Netherlands
Abstract :
Classification of human arm movements is an important problem in healthcare and well-being applications. In this paper, an ultrasonic Uniform Circular Array (UCA) Doppler sensing method is proposed for classifying arm movements from a given set. The method uses velocity and angular information, derived from Doppler frequencies and direction-of-arrival (DoA) by processing the signals received at the UCA, and employs a Bayesian classifier to distinguish between movements. The performance of the sensing method is evaluated using experimental datasets. The proposed ultrasonic UCA Doppler sensor and processing methods provide a compact solution for human arm movement classification.
Keywords :
Bayes methods; Doppler measurement; biomechanics; biomedical ultrasonics; health care; medical signal processing; sensors; Bayesian classifier; Doppler frequencies; angular information; healthcare applications; human arm motion classification; human arm movement classification; signal processing; ultrasonic UCA Doppler sensor; ultrasonic uniform circular array; velocity information; well-being applications; Acoustics; Arrays; Direction-of-arrival estimation; Doppler effect; Frequency modulation; Medical services; Sensors; Human arm movement classification; UCA Doppler sensor;
Conference_Titel :
Consumer Electronics ??? Berlin (ICCE-Berlin), 2014 IEEE Fourth International Conference on
Conference_Location :
Berlin
DOI :
10.1109/ICCE-Berlin.2014.7034298