BALANCE: Towards a Usable Pervasive Wellness Application with Accurate Activity Inference

Tamara Denning; Adrienne Andrew; Rohit Chaudhri; Carl Hartung; Jonathan Lester; Gaetano Borriello; Glen Duncan

doi:10.1145/1514411.1514416

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BALANCE: Towards a Usable Pervasive Wellness Application with Accurate Activity Inference

Journal article

Open access

BALANCE: Towards a Usable Pervasive Wellness Application with Accurate Activity Inference

Tamara Denning, Adrienne Andrew, Rohit Chaudhri, Carl Hartung, Jonathan Lester, Gaetano Borriello and Glen Duncan

Proceedings (IEEE Workshop on Mobile Computing Systems and Applications), Vol.2009, pp.5-5

2009

DOI: https://doi.org/10.1145/1514411.1514416

Handle:

https://hdl.handle.net/2376/102760

PMCID: PMC2863147

PMID: 20445819

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Abstract

Design

wellness

long term health monitoring

Verification

pervasive health

caloric balance

Human Factors

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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Title: BALANCE: Towards a Usable Pervasive Wellness Application with Accurate Activity Inference
Creators: Tamara Denning - Computer Science and Engineering, University of Washington, Seattle, Washington, USA
Adrienne Andrew - Computer Science and Engineering, University of Washington, Seattle, Washington, USA
Rohit Chaudhri - Computer Science and Engineering, University of Washington, Seattle, Washington, USA
Carl Hartung - Computer Science and Engineering, University of Washington, Seattle, Washington, USA
Jonathan Lester - Computer Science and Engineering, University of Washington, Seattle, Washington, USA
Gaetano Borriello - Computer Science and Engineering, University of Washington, Seattle, Washington, USA
Glen Duncan - Epidemiology and Nutritional Sciences, University of Washington, Seattle, Washington, USA
Publication Details: Proceedings (IEEE Workshop on Mobile Computing Systems and Applications), Vol.2009, pp.5-5
Academic Unit: Nutrition and Exercise Physiology, Department of
Identifiers: 99900546530601842
Language: English
Resource Type: Journal article