Abstract

The use of biometric sensors for monitoring an individual’s health and related behaviors, continuously and in real time, promises to revolutionize healthcare in the near future. In an effort to better understand the complex interplay between one’s medical condition and social, environmental, and metabolic parameters, this article presents the KNOWME platform, a complete, end-to-end, body area sensing system that integrates off-the-shelf biometric sensors with a Nokia N95 mobile phone to continuously monitor the metabolic signals of a subject. With a current focus on pediatric obesity, KNOWME employs metabolic signals to monitor and evaluate physical activity. KNOWME development and in-lab deployment studies have revealed three major challenges: (1) the need for robustness to highly varying operating environments due to subject-induced variability, such as mobility or sensor placement; (2) balancing the …

Date

2012

Authors

Gautam Thatte, Ming Li, Sangwon Lee, Adar Emken, Shrikanth Narayanan, Urbashi Mitra, Donna Spruijt-Metz, Murali Annavaram

Journal

ACM Transactions on Embedded Computing Systems (TECS)

Volume

11

Issue

S2

Pages

1-24

Publisher

ACM