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Physical Activity Evaluation Using a Voice Recognition App: Development and Validation Study.

Hideyuki Namba
Published in: JMIR biomedical engineering (2021)
The average METs value measured by the voice recognition app was consistent with that measured by the 3-axis accelerometer and, thus, the data gathered by the two measurement methods showed a high correlation. The voice recognition method also demonstrated the ability of the system to measure the physical activity of a large number of people at the same time with less burden on the participants. Although there were still issues regarding the improvement of automatic text data classification technology and user input compliance, this research proposes a new method for evaluating physical activity using voice recognition technology.
Keyphrases
  • physical activity
  • body mass index
  • machine learning
  • deep learning
  • electronic health record
  • sleep quality
  • data analysis