Research Article
Poster Abstract: Adaptive Gym Exercise Counting for myHealthAssistant
@INPROCEEDINGS{10.4108/icst.bodynets.2011.247201, author={Christian Seeger and Alejandro Buchmann and Kristof Van Laerhoven}, title={Poster Abstract: Adaptive Gym Exercise Counting for myHealthAssistant}, proceedings={6th International ICST Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2012}, month={6}, keywords={exercise counting adaptive on-sensor detection hybrid counting}, doi={10.4108/icst.bodynets.2011.247201} }
- Christian Seeger
Alejandro Buchmann
Kristof Van Laerhoven
Year: 2012
Poster Abstract: Adaptive Gym Exercise Counting for myHealthAssistant
BODYNETS
ICST
DOI: 10.4108/icst.bodynets.2011.247201
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.
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