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Related Experiment Video

Updated: Feb 24, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
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FamilyLog: A Mobile System for Monitoring Family Mealtime Activities.

Chongguang Bi1, Guoliang Xing1, Tian Hao2

  • 1Michigan State University.

Proceedings of the ... IEEE International Conference on Pervasive Computing and Communications. IEEE International Conference on Pervasive Computing and Communications
|August 22, 2017
PubMed
Summary

Family mealtime logging using the FamilyLog system increases self-awareness and promotes healthier lifestyles. This technology accurately tracks family meal activities, aiding in wellness improvements.

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Area of Science:

  • Human-Computer Interaction
  • Ubiquitous Computing
  • Health Informatics

Background:

  • Family mealtime is crucial for relationships and health, yet often replaced by screen time.
  • Obesity rates are linked to reduced family dinner frequency.
  • Activity logging can enhance self-awareness and motivate lifestyle changes for wellness.

Purpose of the Study:

  • To present FamilyLog, a system for unobtrusively logging family mealtime activities.
  • To automatically detect meal duration, conversations, participants, and TV viewing.
  • To evaluate the system's accuracy and real-world performance in family settings.

Main Methods:

  • Utilized smartphones and smartwatches for unobtrusive, fine-grained activity logging.
  • Designed robust signal features from sensor data (sound, gestures, voice, TV audio).
  • Employed a Hidden Markov Model (HMM)-based classifier to fuse data from multiple devices.

Main Results:

  • FamilyLog accurately detects various mealtime activities across different families and home environments.
  • Extensive experiments over 77 days with 37 subjects in 8 families validated the system.
  • The system demonstrates high accuracy in logging details like meal occurrence, duration, and concurrent activities.

Conclusions:

  • FamilyLog offers a practical solution for monitoring and potentially improving family mealtime habits.
  • The system's unobtrusive nature and high accuracy support its use in promoting wellness.
  • Automated activity logging can be a valuable tool for behavioral modification and health research.