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This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (5315) New Methods (1872) mHealth for Data Collection and Research (1786) Methods and New Tools in Mental Health Research (945) Fitness Trackers and Smart Pedometers/Accelerometers (813) Innovations and Technology for Physical Activity Education (1082)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56144, first published .
Smartwatch and smartphone displaying health data and charts

Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities

Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities

Authors of this article:

Hung-Hsun Chen1, 2 Author Orcid Image ;   Chen Lin3 Author Orcid Image ;   Hsiang-Chih Chang3, 4 Author Orcid Image ;   Jen-Ho Chang5, 6 Author Orcid Image ;   Hai-Hua Chuang7, 8, 9, 10 Author Orcid Image ;   Yu-Hsuan Lin4, 11, 12 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Gubin D, Weinert D, Stefani O, Otsuka K, Borisenkov M, Cornelissen G. Wearables in Chronomedicine and Interpretation of Circadian Health. Diagnostics 2025;15(3):327 View
  2. Lin C, Chuang H, Chang H, Chen I, Chen T, Lin Y. Integrating human-smartphone interactions and actigraphy in digital phenotyping of obesity and depression: Social-physical coherence algorithm development and validation study. Chronobiology International 2026:1 View