Phone in the pocket: Pervasive self-tracking of physical activity levels
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Phone in the pocket : Pervasive self-tracking of physical activity levels. / Hausmann, Jody; Wac, Katarzyna; Bonjour, Julien.
Self-Tracking and Collective Intelligence for Personal Wellness - Papers from the AAAI Spring Symposium. Vol. SS-12-05 2012. p. 17-18.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Phone in the pocket
T2 - 2012 AAAI Spring Symposium
AU - Hausmann, Jody
AU - Wac, Katarzyna
AU - Bonjour, Julien
PY - 2012/8/20
Y1 - 2012/8/20
N2 - Mobile (smart)phones prevail in our daily life activities, and in our research we aim for it to provide pervasive services for wellness. Therefore, we assess the phone's feasibility to unobtrusively, continuously and in real-time track its user's physical activity and the resulting energy expenditure (EE). Activity Level Estimator (ALE) is an Android OS application developed for that purpose. We have assessed the accuracy of ALE against the BodyMedia SenseWear (SW) device and the gold standard for EE estimation, i.e., an indirect calorimetry (IC) method. ALE has mean accuracy of 86% (vs. SW) to 93% (vs. IC) for walking, and in 24h it underestimates EE by 23% ALE is currently used for a long-term behavioral trends study with the University of Geneva students and faculty.
AB - Mobile (smart)phones prevail in our daily life activities, and in our research we aim for it to provide pervasive services for wellness. Therefore, we assess the phone's feasibility to unobtrusively, continuously and in real-time track its user's physical activity and the resulting energy expenditure (EE). Activity Level Estimator (ALE) is an Android OS application developed for that purpose. We have assessed the accuracy of ALE against the BodyMedia SenseWear (SW) device and the gold standard for EE estimation, i.e., an indirect calorimetry (IC) method. ALE has mean accuracy of 86% (vs. SW) to 93% (vs. IC) for walking, and in 24h it underestimates EE by 23% ALE is currently used for a long-term behavioral trends study with the University of Geneva students and faculty.
UR - http://www.scopus.com/inward/record.url?scp=84864965182&partnerID=8YFLogxK
M3 - Article in proceedings
AN - SCOPUS:84864965182
SN - 9781577355540
VL - SS-12-05
SP - 17
EP - 18
BT - Self-Tracking and Collective Intelligence for Personal Wellness - Papers from the AAAI Spring Symposium
Y2 - 26 March 2012 through 28 March 2012
ER -
ID: 203870931