BALANCE: towards a usable pervasive wellness application with accurate activity inference

Authors:
Tamara Denning;Adrienne Andrew;Rohit Chaudhri;Carl Hartung;Jonathan Lester;Gaetano Borriello;Glen Duncan
Affiliations:
University of Washington, Seattle, Washington;University of Washington, Seattle, Washington;University of Washington, Seattle, Washington;University of Washington, Seattle, Washington;University of Washington, Seattle, Washington;University of Washington, Seattle, Washington;University of Washington, Seattle, Washington
Venue:
Proceedings of the 10th workshop on Mobile Computing Systems and Applications
Year:
2009

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Abstract

Technology offers the potential to objectively monitor people's eating and activity behaviors and encourage healthier lifestyles. BALANCE is a mobile phone-based system for long term wellness management. The BALANCE system automatically detects the user's caloric expenditure via sensor data from a Mobile Sensing Platform unit worn on the hip. Users manually enter information on foods eaten via an interface on an N95 mobile phone. Initial validation experiments measuring oxygen consumption during treadmill walking and jogging show that the system's estimate of caloric output is within 87% of the actual value. Future work will refine and continue to evaluate the system's efficacy and develop more robust data input and activity inference methods.