Demographics: 38 participants, mixture of graduate students and staff in Computer Science

Size: over 140 million raw data records

Duration: 16 weeks

Purpose: Employ all facets of the iEpi data collection system in a single study. This included sensors, a survey tool, an external weight scale, photo-based online food diary, indoor localization tools, a data analysis suite, aggregate-level simulations, agent-based simulations, and external standalone tools.

Data Collected 

  • Base Duty Cycle: 5 minutes
    • Accelerometer: 1 minute (one minute burst)
    • Bluetooth: 1 minute (one minute burst)
    • WiFi: 3 seconds (three second burst)
    • GPS: 2 minutes (two minute burst)
    • Battery: 10 records
  • On-phone contextual surveys: approximately 3 per day
  • Photo Food Diary: opt in optional protocol for participants
  • Weight Scale: 20 participants, on their normal schedule
  • Demographic survey
  • Technology usability survey

Outcomes: Data was collected and a basic analysis was performed; analysis was similar to those performed in SHED1. Successful deployment of federated on device apps (PhotoFoodDiary, SurveyTool) and off device sensors (weight scale).

Papers Employing SHED2 Data:

  1. Hashemian, M., Knowles, D., Calver, J., Qian, W., Bullock, M. C., Bell, S., Osgood, N. & Stanley, K. G. (2012, June). iEpi: an end to end solution for collecting, conditioning and utilizing epidemiologically relevant data. In Proceedings of the 2nd ACM international workshop on Pervasive Wireless Healthcare (pp. 3-8). ACM.

© Kevin Stanley 2014