Title:
Dealing with Childhood Obesity: Passive versus Active Activity Monitoring Approaches for Engaging Individuals in Exercise

dc.contributor.author Valentin, Giancarlo en_US
dc.contributor.author Howard, Ayanna M. en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Georgia Institute of Technology. Human-Automation Systems Lab en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.date.accessioned 2013-07-03T20:06:23Z
dc.date.available 2013-07-03T20:06:23Z
dc.date.issued 2013-02
dc.description ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description Presented at the 2013 Presented at the IEEE Biosignals and Biorobotics Conference, Brazil, February 2013. en_US
dc.description DOI: 10.1109/BRC.2013.6487511 en_US
dc.description.abstract Childhood obesity is a growing health problem. Indicators show that the rate of obesity for children age 12-19 years old has risen from 5% percent to 18% over the last ten years. Strategies to solve this childhood obesity epidemic range from educating children about nutrition to enabling possibilities for physical exercise. These general approaches, although useful, are ineffective when not adapted into the day-to-day activities of children's lives. However, given the growing popularity of mobile devices, an opportunity exists to use these technologies to design health-based applications that empower this target demographic. In the following paper, we compare two methods for engaging individuals in exercise based on passive versus active-encouragement. The passive method utilizes a wearable device that records exercise activities throughout the day whereas the active-encouragement approach utilizes a smartphone device to send encouraging reminders to the user during the day. The preliminary results, obtained with adolescents and young adults, show that for average users, active-encouragement using a smartphone can produce higher activity levels than the passive alternative. This provides the precursory evidence necessary for justifying further evaluations with younger children. en_US
dc.identifier.citation G. Valentin, A. M. Howard, “Dealing with Childhood Obesity: Passive versus Active Activity Monitoring Approaches for Engaging Individuals in Exercise,” IEEE Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP, Brazil, February 2013. en_US
dc.identifier.doi 10.1109/BRC.2013.6487511
dc.identifier.isbn 978-1-4673-3024-4
dc.identifier.issn 2326-7771
dc.identifier.uri http://hdl.handle.net/1853/48214
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Wireless health en_US
dc.subject Exercise apps en_US
dc.subject Health coaching en_US
dc.subject Childhood obesity en_US
dc.title Dealing with Childhood Obesity: Passive versus Active Activity Monitoring Approaches for Engaging Individuals in Exercise en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Howard, Ayanna M.
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
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relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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