Smartwatch/Smartphone Cooperative Indoor Lifelogging System

In this study, a lifelogging system is proposed for logging the daily activities of a user using a smartphone and a smartwatch cooperatively in indoor environments. The proposed system attempts to recognize a user’s activities of daily living, including sleeping behavior and various physical activit...

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Main Authors: Khanh Nguyen-Huu, Chang Geun Song, Seon-Woo Lee
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2018-09-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
Online Access:http://ojs.imeti.org/index.php/IJETI/article/view/1389
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spelling doaj-da487deacaad404ba5d974bc64479c592020-11-25T01:14:14ZengTaiwan Association of Engineering and Technology InnovationInternational Journal of Engineering and Technology Innovation2223-53292226-809X2018-09-0184354Smartwatch/Smartphone Cooperative Indoor Lifelogging SystemKhanh Nguyen-Huu0Chang Geun Song1Seon-Woo Lee2Hallym UniversityHallym UniversityHallym UniversityIn this study, a lifelogging system is proposed for logging the daily activities of a user using a smartphone and a smartwatch cooperatively in indoor environments. The proposed system attempts to recognize a user’s activities of daily living, including sleeping behavior and various physical activities, and to estimate the user’s daily total energy expenditure (TEE) based on the recognized lifelogs. The TEE has the potential to be useful in personal healthcare management. The system includes both mobile and server systems. The mobile system consists of both a smartwatch and a smartphone used to classify ten activities, including sleeping activities, using sensors on both devices. The server system includes a database server and a set of programs to handle the collected lifelogs for users. An Android app is also developed to display the collected lifelogs and the estimated daily TEE on smartphones to assist in managing users’ health. The experimental results show that the overall average recognition rate of seven activities is 97.5% with four subjects, and the total average error for the three states of sleeping behaviors is 6.64%.http://ojs.imeti.org/index.php/IJETI/article/view/1389lifelogging systemsmartphonesmartwatchactivity recognition
collection DOAJ
language English
format Article
sources DOAJ
author Khanh Nguyen-Huu
Chang Geun Song
Seon-Woo Lee
spellingShingle Khanh Nguyen-Huu
Chang Geun Song
Seon-Woo Lee
Smartwatch/Smartphone Cooperative Indoor Lifelogging System
International Journal of Engineering and Technology Innovation
lifelogging system
smartphone
smartwatch
activity recognition
author_facet Khanh Nguyen-Huu
Chang Geun Song
Seon-Woo Lee
author_sort Khanh Nguyen-Huu
title Smartwatch/Smartphone Cooperative Indoor Lifelogging System
title_short Smartwatch/Smartphone Cooperative Indoor Lifelogging System
title_full Smartwatch/Smartphone Cooperative Indoor Lifelogging System
title_fullStr Smartwatch/Smartphone Cooperative Indoor Lifelogging System
title_full_unstemmed Smartwatch/Smartphone Cooperative Indoor Lifelogging System
title_sort smartwatch/smartphone cooperative indoor lifelogging system
publisher Taiwan Association of Engineering and Technology Innovation
series International Journal of Engineering and Technology Innovation
issn 2223-5329
2226-809X
publishDate 2018-09-01
description In this study, a lifelogging system is proposed for logging the daily activities of a user using a smartphone and a smartwatch cooperatively in indoor environments. The proposed system attempts to recognize a user’s activities of daily living, including sleeping behavior and various physical activities, and to estimate the user’s daily total energy expenditure (TEE) based on the recognized lifelogs. The TEE has the potential to be useful in personal healthcare management. The system includes both mobile and server systems. The mobile system consists of both a smartwatch and a smartphone used to classify ten activities, including sleeping activities, using sensors on both devices. The server system includes a database server and a set of programs to handle the collected lifelogs for users. An Android app is also developed to display the collected lifelogs and the estimated daily TEE on smartphones to assist in managing users’ health. The experimental results show that the overall average recognition rate of seven activities is 97.5% with four subjects, and the total average error for the three states of sleeping behaviors is 6.64%.
topic lifelogging system
smartphone
smartwatch
activity recognition
url http://ojs.imeti.org/index.php/IJETI/article/view/1389
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AT changgeunsong smartwatchsmartphonecooperativeindoorlifeloggingsystem
AT seonwoolee smartwatchsmartphonecooperativeindoorlifeloggingsystem
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