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

Viewpoints and Perspectives (483)

Published on in Vol 21, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12832, first published .
Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management

Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management

Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management

Authors of this article:

Brandon M Booth1 Author Orcid Image ;   Karel Mundnich1 Author Orcid Image ;   Tiantian Feng1 Author Orcid Image ;   Amrutha Nadarajan1 Author Orcid Image ;   Tiago H Falk2 Author Orcid Image ;   Jennifer L Villatte3 Author Orcid Image ;   Emilio Ferrara4 Author Orcid Image ;   Shrikanth Narayanan1 Author Orcid Image
Article Authors Cited by (23) Tweetations (4) Metrics

Journals

  1. Yan S, Hosseinmardi H, Kao H, Narayanan S, Lerman K, Ferrara E. Affect Estimation with Wearable Sensors. Journal of Healthcare Informatics Research 2020;4(3):261 View
  2. Zhang Y, Zhang S, Liu M, Daly E, Battalio S, Kumar S, Spring B, Rehg J, Alshurafa N. SyncWISE. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(3):1 View
  3. Kao H, Yan S, Hosseinmardi H, Narayanan S, Lerman K, Ferrara E. User-Based Collaborative Filtering Mobile Health System. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(4):1 View
  4. Jati A, Nadarajan A, Peri R, Mundnich K, Feng T, Girault B, Narayanan S. Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. IEEE/ACM Transactions on Audio, Speech, and Language Processing 2021;29:756 View
  5. Mundnich K, Booth B, L’Hommedieu M, Feng T, Girault B, L’Hommedieu J, Wildman M, Skaaden S, Nadarajan A, Villatte J, Falk T, Lerman K, Ferrara E, Narayanan S. TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers. Scientific Data 2020;7(1) View
  6. Feng T, Booth B, Baldwin-Rodríguez B, Osorno F, Narayanan S. A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data. Scientific Reports 2021;11(1) View
  7. Kent L, Cleland I, Saunders C, Ennis A, Finney L, Kerr C. A Systematic Multidisciplinary Process for User Engagement and Sensor Evaluation: Development of a Digital Toolkit for Assessment of Movement in Children With Cerebral Palsy. Frontiers in Digital Health 2021;3 View
  8. Muhammad G, Alshehri F, Karray F, Saddik A, Alsulaiman M, Falk T. A comprehensive survey on multimodal medical signals fusion for smart healthcare systems. Information Fusion 2021;76:355 View
  9. Gelinas L, Morrell W, White S, Bierer B. Navigating the ethics of remote research data collection. Clinical Trials 2021;18(5):606 View
  10. Breideband T, Martinez G, Talkad Sukumar P, Caruso M, D'Mello S, Striegel A, Mark G. Sleep Patterns and Sleep Alignment in Remote Teams during COVID-19. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  11. Booth B, Vrzakova H, Mattingly S, Martinez G, Faust L, D’Mello S. Toward Robust Stress Prediction in the Age of Wearables: Modeling Perceived Stress in a Longitudinal Study With Information Workers. IEEE Transactions on Affective Computing 2022;13(4):2201 View
  12. Martinez G, Mattingly S, Robles-Granda P, Saha K, Sirigiri A, Young J, Chawla N, De Choudhury M, D'Mello S, Mark G, Striegel A. Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study. JMIR mHealth and uHealth 2021;9(11):e22218 View
  13. Paromita P, Mundnich K, Nadarajan A, Booth B, Narayanan S, Chaspari T. Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. Frontiers in Digital Health 2023;5 View
  14. He D, Cui Y, Ming F, Wu W. Advancements in Passive Wireless Sensors, Materials, Devices, and Applications. Sensors 2023;23(19):8200 View
  15. Booth B, Bosch N, D’Mello S. Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review. Proceedings of the IEEE 2023;111(10):1398 View
  16. Harari G, Gosling S. Understanding behaviours in context using mobile sensing. Nature Reviews Psychology 2023;2(12):767 View
  17. LI X, DUNKIN F, DEZERT J. Multi-source information fusion: Progress and future. Chinese Journal of Aeronautics 2023 View
  18. Torkamani-Azar M, Lee A, Bednarik R. Methods and Measures for Mental Stress Assessment in Surgery: A Systematic Review of 20 Years of Literature. IEEE Journal of Biomedical and Health Informatics 2022;26(9):4436 View

Books/Policy Documents

  1. Whiddett D, Hunter I, Elers P, Lockhart C, Guesgen H, Singh A. Research Anthology on Supporting Healthy Aging in a Digital Society. View