| BALANCE: towards a usable pervasive wellness application with accurate activity inference |
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Workshop on Mobile Computing Systems and Applications
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Proceedings of the 10th workshop on Mobile Computing Systems and Applications
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Santa Cruz, California
Article No. 5
Year of Publication: 2009
ISBN:978-1-60558-283-2
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Authors
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Tamara Denning
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University of Washington, Seattle, Washington
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Adrienne Andrew
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University of Washington, Seattle, Washington
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Rohit Chaudhri
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University of Washington, Seattle, Washington
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Carl Hartung
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University of Washington, Seattle, Washington
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Jonathan Lester
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University of Washington, Seattle, Washington
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Gaetano Borriello
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University of Washington, Seattle, Washington
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Glen Duncan
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University of Washington, Seattle, Washington
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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.
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Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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