Literature DB >> 20445819

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

Tamara Denning1, Adrienne Andrew, Rohit Chaudhri, Carl Hartung, Jonathan Lester, Gaetano Borriello, Glen Duncan.   

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.

Entities:  

Year:  2009        PMID: 20445819      PMCID: PMC2863147          DOI: 10.1145/1514411.1514416

Source DB:  PubMed          Journal:  Proc IEEE Workshop Mob Comput Syst Appl        ISSN: 1550-6193


  7 in total

1.  Four-day multimedia diet records underestimate energy needs in middle-aged and elderly women as determined by doubly-labeled water.

Authors:  C H Kaczkowski; P J Jones; J Feng; H S Bayley
Journal:  J Nutr       Date:  2000-04       Impact factor: 4.798

2.  Can sedentary adults accurately recall the intensity of their physical activity?

Authors:  G E Duncan; S J Sydeman; M G Perri; M C Limacher; A D Martin
Journal:  Prev Med       Date:  2001-07       Impact factor: 4.018

3.  Improving energy expenditure estimation for physical activity.

Authors:  Kuan Zhang; F Xavier Pi-Sunyer; Carol N Boozer
Journal:  Med Sci Sports Exerc       Date:  2004-05       Impact factor: 5.411

4.  Worksite study promoting activity and changes in eating (PACE): design and baseline results.

Authors:  Shirley A A Beresford; Emily Locke; Sonia Bishop; Briana West; Bonnie A McGregor; Barbara Bruemmer; Glen E Duncan; Beti Thompson
Journal:  Obesity (Silver Spring)       Date:  2007-11       Impact factor: 5.002

5.  Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living.

Authors:  G Johansson; A Wikman; A M Ahrén; G Hallmans; I Johansson
Journal:  Public Health Nutr       Date:  2001-08       Impact factor: 4.022

6.  Development of a new instrument for evaluating individuals' dietary intakes.

Authors:  Da-Hong Wang; Michiko Kogashiwa; Shohei Kira
Journal:  J Am Diet Assoc       Date:  2006-10

7.  Dietary assessment in Whitehall II: comparison of 7 d diet diary and food-frequency questionnaire and validity against biomarkers.

Authors:  E Brunner; D Stallone; M Juneja; S Bingham; M Marmot
Journal:  Br J Nutr       Date:  2001-09       Impact factor: 3.718

  7 in total
  5 in total

1.  Development of a Mobile User Interface for Image-based Dietary Assessment.

Authors:  Sungye Kim; Tusarebecca Schap; Marc Bosch; Ross Maciejewski; Edward J Delp; David S Ebert; Carol J Boushey
Journal:  MUM Int Conf Mob Ubiquitous Multimed       Date:  2010-12-31

Review 2.  Healthcare in the pocket: mapping the space of mobile-phone health interventions.

Authors:  Predrag Klasnja; Wanda Pratt
Journal:  J Biomed Inform       Date:  2011-09-09       Impact factor: 6.317

3.  Symbiotic Sensing for Energy-Intensive Tasks in Large-Scale Mobile Sensing Applications.

Authors:  Duc V Le; Thuong Nguyen; Hans Scholten; Paul J M Havinga
Journal:  Sensors (Basel)       Date:  2017-11-29       Impact factor: 3.576

4.  A mobile and web-based clinical decision support and monitoring system for diabetes mellitus patients in primary care: a study protocol for a randomized controlled trial.

Authors:  Özge Kart; Vildan Mevsim; Alp Kut; İsmail Yürek; Ayşe Özge Altın; Oğuz Yılmaz
Journal:  BMC Med Inform Decis Mak       Date:  2017-11-29       Impact factor: 2.796

5.  A Geoprivacy by Design Guideline for Research Campaigns That Use Participatory Sensing Data.

Authors:  Ourania Kounadi; Bernd Resch
Journal:  J Empir Res Hum Res Ethics       Date:  2018-04-23       Impact factor: 1.742

  5 in total

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