Published on in Vol 5, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10153, first published .
Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study

Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study

Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study

Journals

  1. Day J, Freiberg K, Hayes A, Homel R. Towards Scalable, Integrative Assessment of Children’s Self-Regulatory Capabilities: New Applications of Digital Technology. Clinical Child and Family Psychology Review 2019;22(1):90 View
  2. Cho A, Lee H, Jo Y, Whang M. Embodied Emotion Recognition Based on Life-Logging. Sensors 2019;19(23):5308 View
  3. Bickman L. Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(5):795 View
  4. Geangu E, Vuong Q. Look up to the body: An eye-tracking investigation of 7-months-old infants’ visual exploration of emotional body expressions. Infant Behavior and Development 2020;60:101473 View
  5. Narziev N, Goh H, Toshnazarov K, Lee S, Chung K, Noh Y. STDD: Short-Term Depression Detection with Passive Sensing. Sensors 2020;20(5):1396 View
  6. Gasparini F, Giltri M, Bandini S. Discriminating affective state intensity using physiological responses. Multimedia Tools and Applications 2020;79(47-48):35845 View
  7. Park S, Constantinides M, Aiello L, Quercia D, Van Gent P. WellBeat: A Framework for Tracking Daily Well-Being Using Smartwatches. IEEE Internet Computing 2020;24(5):10 View
  8. Hilty D, Armstrong C, Luxton D, Gentry M, Krupinski E. A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions. Journal of Technology in Behavioral Science 2021 View

Books/Policy Documents

  1. Martinho D, Carneiro J, Novais P, Neves J, Corchado J, Marreiros G. Progress in Artificial Intelligence. View
  2. Zhuang Y, Lin L, Tong R, Liu J, Iwamoto Y, Chen Y. Computer Vision – ACCV 2020 Workshops. View