Ultrasonic circular array sensing for human arm motion classification

R. Van Sloun, A. Pandharipande, D. Caicedo, S. Srinivasan, P. Sommen

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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.

Original languageEnglish
Title of host publicationConsumer Electronics – Berlin (ICCE-Berlin), 2014 IEEE Fourth International Conference, Berlin, 7-10 September 2014
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages2
ISBN (Electronic)978-1-4799-6165-8
Publication statusPublished - 5 Feb 2015
Event4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2014 - Berlin, Germany, Berlin, Germany
Duration: 7 Sept 201410 Sept 2014
Conference number: 4


Conference4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2014
Abbreviated titleICCE-Berlin 2014
Internet address


  • Human arm movement classification
  • UCA Doppler sensor


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