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Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study.

Lucy ChikwetuShaundra DailyBobak J MortazaviJessilyn P Dunn
Published in: JMIR formative research (2023)
The results of this pilot study demonstrate the potential of voice technologies in automated diet capturing using smartphones. Our findings suggest that voice-based diet logging is more effective and better received by users compared to traditional text-based methods, underscoring the need for further research in this area. These insights carry significant implications for the development of more effective and accessible tools for monitoring dietary habits and promoting healthy lifestyle choices.
Keyphrases
  • weight loss
  • physical activity
  • deep learning
  • high throughput
  • metabolic syndrome
  • cardiovascular disease
  • type diabetes
  • randomized controlled trial
  • health information