A Dynamic Approach to Recognize Activities in WSN

The essence of context awareness has changed the revolution of ubiquitous computing, and the wireless sensor network technologies paved the way towards many applications. Activity recognition is a key component in identifying the context of a user for providing services based on the application. In...

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Main Authors: Muhammad Arshad Awan, Zheng Guangbin, Shin-Dug Kim
Format: Article
Language:English
Published: Wiley 2013-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/385276
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author Muhammad Arshad Awan
Zheng Guangbin
Shin-Dug Kim
author_facet Muhammad Arshad Awan
Zheng Guangbin
Shin-Dug Kim
author_sort Muhammad Arshad Awan
collection DOAJ
description The essence of context awareness has changed the revolution of ubiquitous computing, and the wireless sensor network technologies paved the way towards many applications. Activity recognition is a key component in identifying the context of a user for providing services based on the application. In this study, we propose a context management model that is based on activity recognition. The model is composed of four components: a set of sensors, a set of activities, a backend server with machine learning algorithms, and a GUI application for the interaction with the user. A prototype is developed to show the usability of the proposed model. As a pilot testing, only accelerometer data of an Android phone is used to identify the activities of daily living (ADLs): sitting, standing, walking, and jogging. A good accuracy of results that is about 96% on average is achieved in all activities.
format Article
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institution Kabale University
issn 1550-1477
language English
publishDate 2013-04-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-334c2116ffb64e218ec4da11c52172722025-08-20T03:55:17ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-04-01910.1155/2013/385276A Dynamic Approach to Recognize Activities in WSNMuhammad Arshad AwanZheng GuangbinShin-Dug KimThe essence of context awareness has changed the revolution of ubiquitous computing, and the wireless sensor network technologies paved the way towards many applications. Activity recognition is a key component in identifying the context of a user for providing services based on the application. In this study, we propose a context management model that is based on activity recognition. The model is composed of four components: a set of sensors, a set of activities, a backend server with machine learning algorithms, and a GUI application for the interaction with the user. A prototype is developed to show the usability of the proposed model. As a pilot testing, only accelerometer data of an Android phone is used to identify the activities of daily living (ADLs): sitting, standing, walking, and jogging. A good accuracy of results that is about 96% on average is achieved in all activities.https://doi.org/10.1155/2013/385276
spellingShingle Muhammad Arshad Awan
Zheng Guangbin
Shin-Dug Kim
A Dynamic Approach to Recognize Activities in WSN
International Journal of Distributed Sensor Networks
title A Dynamic Approach to Recognize Activities in WSN
title_full A Dynamic Approach to Recognize Activities in WSN
title_fullStr A Dynamic Approach to Recognize Activities in WSN
title_full_unstemmed A Dynamic Approach to Recognize Activities in WSN
title_short A Dynamic Approach to Recognize Activities in WSN
title_sort dynamic approach to recognize activities in wsn
url https://doi.org/10.1155/2013/385276
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AT shindugkim adynamicapproachtorecognizeactivitiesinwsn
AT muhammadarshadawan dynamicapproachtorecognizeactivitiesinwsn
AT zhengguangbin dynamicapproachtorecognizeactivitiesinwsn
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