Highly Accurate Step Detection from a Wrist-worn 3D Accelerometer
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Author
Moufawad El Achkar, Christopher
Pilkar, Rakesh
Renevey, Philippe
Gerstel, Dawid
Biggs, Matt
Nguyen, Joe
Patterson, Matthew R
Neishabouri, Ali
Guo, Christine
Dudnik, Gabriela
DOI
Abstract
Step counting is the most used fitness and healthy mobility metric. Specific daily step recommendations have been provided by health organizations ever since the benefits of accumulating daily walks on overall health have been demonstrated. With smartwatches becoming ever so popular, many wrist-based algorithms have been developed to count and report steps. However, an objective validation of such algorithms is lacking. In this work, several algorithms were compared in different use-case scenarios for step counting, revealing the excellent accuracy of CSEM's approach.
Publication Reference
CSEM Scientific and Technical Report 2023, p. 48
Year
2023