TY - GEN
T1 - Jog falls
T2 - 8th International Conference on Pervasive Computing, Pervasive 2010
AU - Nachman, Lama
AU - Baxi, Amit
AU - Bhattacharya, Sangeeta
AU - Darera, Vivek
AU - Deshpande, Piyush
AU - Kodalapura, Nagaraju
AU - Mageshkumar, Vincent
AU - Rath, Satish
AU - Shahabdeen, Junaith
AU - Acharya, Raviraja
PY - 2010/6/18
Y1 - 2010/6/18
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77953511038&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953511038&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12654-3_6
DO - 10.1007/978-3-642-12654-3_6
M3 - Conference contribution
AN - SCOPUS:77953511038
SN - 3642126537
SN - 9783642126536
VL - 6030 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 94
EP - 111
BT - Pervasive Computing - 8th International Conference, Pervasive 2010, Proceedings
Y2 - 17 May 2010 through 20 May 2010
ER -
