Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Design requirements for technologies that encourage physical activity
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MAHI: investigation of social scaffolding for reflective thinking in diabetes management
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Mobile Sensing Platform: An Embedded Activity Recognition System
IEEE Pervasive Computing
Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Theory-driven design strategies for technologies that support behavior change in everyday life
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fish'n'Steps: encouraging physical activity with an interactive computer game
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
A new research challenge: persuasive technology to motivate healthy aging
IEEE Transactions on Information Technology in Biomedicine
Sundroid: solar radiation awareness with smartphones
Proceedings of the 13th international conference on Ubiquitous computing
A survey on privacy in mobile participatory sensing applications
Journal of Systems and Software
Healthopia: towards your well-being in everyday life
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Balancing exertion experiences
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cross-people mobile-phone based activity recognition
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Activity logging using lightweight classification techniques in mobile devices
Personal and Ubiquitous Computing
Understanding the needs of low SES patients with type 2 diabetes
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Identifying risky environments for COPD patients using smartphones and internet of things objects
International Journal of Computational Intelligence Studies
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This paper presents Jog Falls, an end to end system to manage diabetes that blends activity and energy expenditure monitoring, diet-logging, and analysis of health data for patients and physicians. It describes the architectural details, sensing modalities, user interface and the physician's backend portal. We show that the body wearable sensors accurately estimate the energy expenditure across a varied set of active and sedentary states through the fusion of heart rate and accelerometer data. The GUI ensures continuous engagement with the patient by showing the activity goals, current and past activity states and dietary records along with its nutritional values. The system also provides a comprehensive and unbiased view of the patient's activity and food intake trends to the physician, hence increasing his/her effectiveness in coaching the patient. We conducted a user study using Jog Falls at Manipal University, a leading medical school in India. The study involved 15 participants, who used the system for 63 days. The results indicate a strong positive correlation between weight reduction and hours of use of the system.