A small selection of wearable and nearable devices displayed at the 2024 University of Michigan's MeTRIC Symposium.
The 2026 MeTRIC Symposium at the University of Michigan, hosted by the Eisenberg Family Depression Center's Mobile Technologies Core, featured a showcase of wearable, nearable, and connected devices used in research. This gallery offered researchers and students an interactive opportunity to explore a range of mobile technologies, review their features, and discover how these innovative tools can enhance data collection and research across disciplines.
Direct links to Depression Center consultation request forms, program applications, and program information contacts.
A listing of U-M and MM offices and research cores that provide data-related consultation services, including those with expertise with mobile data and mental health data.
Dr. Sarah Sperry and Victoria Murphy of the Emotion and Temporal Dynamics (EmoTe) Lab at the University of Michigan created EMA-CleanR, an R-based program for efficient pre-processing, cleaning, and visualization of Ecological Momentary Assessment (EMA) survey data. This article documents how to use EMA-CleanR and how it works.
Standardized data flow for research studies that utilize mobile technologies at the University of Michigan. It depicts how data typically moves from a smart watch or wearable device, into University resources behind a firewall, and finally lands on long-term storage for preservation and analytics.