Group: Robert Furberg, PhD; Derek Hales, PhD; Gayatri Rathod; Fei Yu, PhD; Karthik Adapa, Saba Akbar, Brian Moynihan, Lynn Eades
The proposed study was to evaluate the validity of Fitbit Alta HR, a commercially available activity tracker using three approaches: orbital shaker testing, human testing during structured activities, and four days of free-living activity. Before being used for intervention purposes, the validity of the commercially available activity trackers needed to be established so that researchers using them can be confident in their utility as behavioral tracking devices. In addition, evaluating the Fitbit Alta HR helps consumers make educated decisions regarding device selection.
Group: Jonathan Monroe, Mark Molinaro, Grady Hale, Ronald Ding
Brain VR combines electroencephalogram (EEG) data with virtual reality, allowing users to use their mind to control a video game in virtual reality. Users train the system by thinking “up” or “down” and then fly across a virtual landscape using only their thoughts. Other demos include a visualization of a user’s brainwaves emanating from a virtual brain and the ability of a user to control a campfire with their brain activity. The group created a configurable open source code library called Sharp BCI that anyone can use to recreate the project or work with EEG data.
Group: Michael Huang, Vincent Li, Lily Cui, Madhu Vadlamani
Edgar’s Adventure is a game for kids that can be controlled with an EEG headset. It uses the code created by the Brain VR group to power a serious game that is intended to be played by kids in the hospital, engaging them by giving them the power to control the game with their mind.
Group: Andrew Davis, David Snedecor, Shuocheng Huang, Brian Dalton
Computer Science students developed applications for UNC Health Care using the Amazon Echo voice controlled personal assistant. They are worked on apps to help physicians with phlebotomy (a decision tree to know which color tubes to use for blood draws) as well as a pediatrics patient quiz application for new parents.
Blood Draw App – https://github.com/andavi/alexa-health-blood-draw
Alexa Parent Reference – https://github.com/andavi/alexa-health-parent-reference
Supported Studies Examples
Delesha Carpenter has started an international collaboration to develop a new youth-centered user-friendly device to assess children’s inhaler technique. CaDHRI provided her team with aerosol inhalation monitors (AIMs). Her team gathered youth feedback on an existing inhaler technique device using AIMs. Dr. Carpenter has been coordinating to gather data on youth’s assessment of the device’s usability with these devices in the U.S., U.K., and Australia.
Dr. Deborah Tate is leading a study to identify optimal timing, need and content of intervention messages that promote adherence to self-monitoring behaviors. The study is using a just-intime adaptive intervention model (JITAI).
Phase I has examined predictors of weighing and activity tracking among young adults using Fitbit Aria Wireless Scale data and a smartphone app to query them several times per day about their behaviors, moods, and contexts. Phase II will be a larger study of 120 young adults.
Dr. Greg Lewis has been designing and testing a noncontact system for measuring heart rate in human subjects for research and health applications. One critical weakness in the current system is its poor performance with the subset of the population that has the darkest skin tones.
Therefore, this study uses a nearinfrared (NIR) enhanced camera to test whether use of the NIR part of the light spectrum improves system performance to make it suitable for all subjects.