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

Applications of AI (287) Artificial Intelligence (2129)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47194, first published .
Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

Authors of this article:

Runze Yan1 Author Orcid Image ;   Xinwen Liu2 Author Orcid Image ;   Janine M Dutcher2 Author Orcid Image ;   Michael J Tumminia3 Author Orcid Image ;   Daniella Villalba2 Author Orcid Image ;   Sheldon Cohen2 Author Orcid Image ;   John D Creswell2 Author Orcid Image ;   Kasey Creswell2 Author Orcid Image ;   Jennifer Mankoff4 Author Orcid Image ;   Anind K Dey4 Author Orcid Image ;   Afsaneh Doryab1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Zhao C, Cardei M, Clark M, Yan R, Doryab A. Biobehavioral Rhythms in Everyday Life: Data and Models for Capturing Cyclic Behavior in Naturalistic Settings. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2025;9(4):1 View