Adaptive gym exercise counting for myHealthAssistant: poster abstract

Authors:
Christian Seeger;Alejandro Buchmann;Kristof Van Laerhoven
Affiliations:
Techn. Univ. Darmstadt, Germany;Techn. Univ. Darmstadt, Germany;Techn. Univ. Darmstadt, Germany
Venue:
Proceedings of the 6th International Conference on Body Area Networks
Year:
2011

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Abstract

This paper presents an adaptive counting approach that captures weightlifting exercise repetitions despite fluctuations in the speed of performing. By having a hybrid counting approach that utilizes both state counting based on mean acceleration information and a sensor-based peak detection, reliable gym exercise counting with low transmission rates is achieved. Both approaches are running in parallel and enable the system to adapt to changes in the exercise speed in real-time and without losing counting information sent in the past.