Human Computer Interaction

Background:
Innovations in human-computer interaction research have revealed effective methods for people with various disabilities to use computers or to receive computer aided medical treatment. The prevalence of sensor-rich smartphones, PDAs, and tablets has even broadened the perspective in the roles and capacities of these mobile devices in the monitoring and intervention of human health related activities. The ubiquitous mobile  smart phones embedded with accelerometers and cameras become natural candidates for the measurement of human physical activity and diet intake.

On the other hand, the demand for accurate monitoring of such human behaviors and lifestyles has never been so imminent because it plays a key role in the prevention of diseases such as cancer, diabetes, coronary heart disease, and obesity. With the wide variety of applications available or to be designed on smartphones catering this demand, the usability and effectiveness of the developments will remain as core issues in deciding whether or not they would meet the challenges in the accurate measurement and intervention of human health related activities.

Research Project:
Title: A Usability Study of Smartphones in Human Wellness Monitoring and Intervention
Faculty Investigator: Chunming Gao
Email: chgao@mtu.edu

Summary: This project studies the roles and effectiveness of smartphones in monitoring human wellness, with the focus on usability study of physical activity monitoring using embedded accelerometers, as well as dietary intake monitoring through picture analysis, graphical user interface designs, and GPS assisted environmental context integration. Efficient algorithms for real-time analysis of accelerometer data and dietary image data will be developed. Individual intervention techniques will be explored and usability study will be conducted through human subjects in targeted groups.

Selected Publications:
1. E. Hendrick, B. Schooley, C. Gao, CloudHealth: Developing A Reliable Cloud Platform for Healthcare Applications, IEEE International Workshop on Consumer eHealth Platforms, Services and Applications, 2013 (accepted)
2. C. Gao, R. Pastel, J. Tan, Tilt-Click: One-handed Eyes-free Numeric and Symbol Input For Calculation Applications, IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems, 2012
3. C. Gao, R. Pastel, J. Tan, Yet Another User Input Method: Accelerometer Assisted Single Key Input, 8th World Congress on Intelligent Control and Automation, 2010
4. C. Gao, F. Kong, J. Tan, HealthAware: Tackling Obesity with Health Aware Smartphone Systems, Proceedings of International Conference on Robotics and Biomimetics, 2009