Title :
The Mobile Sensing Platform: An Embedded Activity Recognition System
Author :
Choudhury, Tonmoy ; Consolvo, Sunny ; Harrison, Brent ; Hightower, J. ; Lamarca, Antonio ; Legrand, L. ; Rahimi, Azar ; Rea, A. ; Bordello, G. ; Hemingway, B. ; Klasnja, Predrag ; Koscher, Karl ; Landay, James A. ; Lester, James N. ; Wyatt, D. ; Haehnel,
Author_Institution :
Intel Res., Santa Clara
Abstract :
Activity-aware systems have inspired novel user interfaces and new applications in smart environments, surveillance, emergency response, and military missions. Systems that recognize human activities from body-worn sensors can further open the door to a world of healthcare applications, such as fitness monitoring, eldercare support, long-term preventive and chronic care, and cognitive assistance. Wearable systems have the advantage of being with the user continuously. So, for example, a fitness application could use real-time activity information to encourage users to perform opportunistic activities. Furthermore, the general public is more likely to accept such activity recognition systems because they are usually easy to turn off or remove.
Keywords :
sensors; ubiquitous computing; activity recognition systems; activity-aware systems; body-worn sensors; embedded activity recognition system; emergency response; healthcare applications; military missions; mobile sensing; real-time activity information; smart environments; surveillance; user interfaces; wearable systems; Accelerometers; Algorithm design and analysis; Medical services; Pervasive computing; Privacy; Protection; Robustness; Software algorithms; Software design; Ubiquitous computing; activity recognition; embedded systems; machine learning; wearable computers;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2008.39
