Temporal influences in movement and exercise (TIME) study
Aug 2019 – Present
In TIME study, we developed a mobile and smartwatch application to gather information on factors that might influence physical activity, sedentary behavior, and sleep patterns in young adults. The app gathers information on health behaviors using ecological momentary assessment, smartwatch-based microEMA, and passive sensors on phone and the smartwatch. Note: This is a work in progress and I will be updating it soon as we gather more data. We are currently collecting data from participants. If you are interested to participant, please visit TIMEStudy webpage.
Android, Android Wear, Python, R, Firebase Cloud
Data processing and summarization scripts, Mobile and smartwatch app development, Study design
Prof. Genevieve Dunton (Univ. Southern California), Shirlene Wang (PhD Student, Univ. Southern California), Qu Tang (PhD Student, Northeastern University), Binod Thapa-Chhetry (PhD Student Northeastern University), Jixin Li (PhD Student, Northeastern University)
This work is supported by national institutes of Health NIH/NCI U01HL146327. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.