ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives

Technology provides ample opportunities for the acquisition and processing of physical, mental and social health primitives. However, several challenges remain for researchers as how to define the relationship between reported physical activities, mood and social interaction to define an active life...

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Main Authors: Muhammad Fahim, Muhammad Idris, Rahman Ali, Christopher Nugent, Byeong Kang, Eui-Nam Huh, Sungyoung Lee
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/5/9313
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author Muhammad Fahim
Muhammad Idris
Rahman Ali
Christopher Nugent
Byeong Kang
Eui-Nam Huh
Sungyoung Lee
author_facet Muhammad Fahim
Muhammad Idris
Rahman Ali
Christopher Nugent
Byeong Kang
Eui-Nam Huh
Sungyoung Lee
author_sort Muhammad Fahim
collection DOAJ
description Technology provides ample opportunities for the acquisition and processing of physical, mental and social health primitives. However, several challenges remain for researchers as how to define the relationship between reported physical activities, mood and social interaction to define an active lifestyle. We are conducting a project, ATHENA(activity-awareness for human-engaged wellness applications) to design and integrate the relationship between these basic health primitives to approximate the human lifestyle and real-time recommendations for wellbeing services. Our goal is to develop a system to promote an active lifestyle for individuals and to recommend to them valuable interventions by making comparisons to their past habits. The proposed system processes sensory data through our developed machine learning algorithms inside smart devices and utilizes cloud infrastructure to reduce the cost. We exploit big data infrastructure for massive sensory data storage and fast retrieval for recommendations. Our contributions include the development of a prototype system to promote an active lifestyle and a visual design capable of engaging users in the goal of increasing self-motivation. We believe that our study will impact the design of future ubiquitous wellness applications.
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spelling doaj.art-42dc8f4374d14ec4b06c0412b0c550952022-12-22T04:01:13ZengMDPI AGSensors1424-82202014-05-011459313932910.3390/s140509313s140509313ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health PrimitivesMuhammad Fahim0Muhammad Idris1Rahman Ali2Christopher Nugent3Byeong Kang4Eui-Nam Huh5Sungyoung Lee6Ubiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Yongin-Si 446-701, South KoreaUbiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Yongin-Si 446-701, South KoreaUbiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Yongin-Si 446-701, South KoreaSchool of Computing and Mathematics, University of Ulster, Newtownabbey, Co. Antrim, Northern Ireland, BT37 0QB, UKSchool of Computing and Information Systems, University of Tasmania, AustraliaInternet Computing and Network Security Lab, Department of Computer Engineering, Kyung Hee University, Yongin-Si 446-701, South KoreaUbiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Yongin-Si 446-701, South KoreaTechnology provides ample opportunities for the acquisition and processing of physical, mental and social health primitives. However, several challenges remain for researchers as how to define the relationship between reported physical activities, mood and social interaction to define an active lifestyle. We are conducting a project, ATHENA(activity-awareness for human-engaged wellness applications) to design and integrate the relationship between these basic health primitives to approximate the human lifestyle and real-time recommendations for wellbeing services. Our goal is to develop a system to promote an active lifestyle for individuals and to recommend to them valuable interventions by making comparisons to their past habits. The proposed system processes sensory data through our developed machine learning algorithms inside smart devices and utilizes cloud infrastructure to reduce the cost. We exploit big data infrastructure for massive sensory data storage and fast retrieval for recommendations. Our contributions include the development of a prototype system to promote an active lifestyle and a visual design capable of engaging users in the goal of increasing self-motivation. We believe that our study will impact the design of future ubiquitous wellness applications.http://www.mdpi.com/1424-8220/14/5/9313active lifestylewellness servicesactivity-awarenesspersonalization
spellingShingle Muhammad Fahim
Muhammad Idris
Rahman Ali
Christopher Nugent
Byeong Kang
Eui-Nam Huh
Sungyoung Lee
ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives
Sensors
active lifestyle
wellness services
activity-awareness
personalization
title ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives
title_full ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives
title_fullStr ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives
title_full_unstemmed ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives
title_short ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives
title_sort athena a personalized platform to promote an active lifestyle and wellbeing based on physical mental and social health primitives
topic active lifestyle
wellness services
activity-awareness
personalization
url http://www.mdpi.com/1424-8220/14/5/9313
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