Smartphone based classification system for indoor navigation
This paper introduces a smartphone-based classification system for an indoor environment of a walking person. The system relies only on smartphone inertial data and it can be considered as a smartphone-based aiding system for an indoor navigation. In addition, it does not need pre-installing of wire...
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| Language: | English |
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Trans Tech Publications Ltd., Switzerland
2015
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| Online Access: | http://irep.iium.edu.my/46560/ http://irep.iium.edu.my/46560/1/10.4028%40www.scientific.net%40AMM.775.436.pdf |
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iium-465602016-11-29T01:30:03Z http://irep.iium.edu.my/46560/ Smartphone based classification system for indoor navigation Al Jeroudi, Yazan Legowo, Ari Sulaeman, Erwin TJ181 Mechanical movements This paper introduces a smartphone-based classification system for an indoor environment of a walking person. The system relies only on smartphone inertial data and it can be considered as a smartphone-based aiding system for an indoor navigation. In addition, it does not need pre-installing of wireless network in the environment or heavily tuning process before the navigation run. Therefore, this system can be used as an aiding block where the person wants to localize himself in an indoor environment starting from known navigations point. This system categorizes person navigation in indoor environment into three types of classes: walking straight, turning right, and turning left. There is an ELM (Extreme Learning Machine)-Based neural network for deciding the class of the current navigation action. The evaluation measure shows that the best performance is obtained with the Radial Basis Function (RBF) as the activation function of the neural network. Also, the obtained accuracy rates up to 95%. Trans Tech Publications Ltd., Switzerland 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46560/1/10.4028%40www.scientific.net%40AMM.775.436.pdf Al Jeroudi, Yazan and Legowo, Ari and Sulaeman, Erwin (2015) Smartphone based classification system for indoor navigation. Applied Mechanics and Materials, 775. pp. 436-440. ISSN 1660-9336 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
TJ181 Mechanical movements |
| spellingShingle |
TJ181 Mechanical movements Al Jeroudi, Yazan Legowo, Ari Sulaeman, Erwin Smartphone based classification system for indoor navigation |
| description |
This paper introduces a smartphone-based classification system for an indoor environment of a walking person. The system relies only on smartphone inertial data and it can be considered as a smartphone-based aiding system for an indoor navigation. In addition, it does not need pre-installing of wireless network in the environment or heavily tuning process before the navigation run. Therefore, this system can be used as an aiding block where the person wants to localize himself in an indoor environment starting from known navigations point. This system categorizes person navigation in indoor environment into three types of classes: walking straight, turning right, and turning left. There is an ELM (Extreme Learning Machine)-Based neural network for deciding the class of the current navigation action. The evaluation measure shows that the best performance is obtained with the Radial Basis Function (RBF) as the activation function of the neural network. Also, the obtained accuracy rates up to 95%. |
| format |
Article |
| author |
Al Jeroudi, Yazan Legowo, Ari Sulaeman, Erwin |
| author_facet |
Al Jeroudi, Yazan Legowo, Ari Sulaeman, Erwin |
| author_sort |
Al Jeroudi, Yazan |
| title |
Smartphone based classification system for indoor navigation |
| title_short |
Smartphone based classification system for indoor navigation |
| title_full |
Smartphone based classification system for indoor navigation |
| title_fullStr |
Smartphone based classification system for indoor navigation |
| title_full_unstemmed |
Smartphone based classification system for indoor navigation |
| title_sort |
smartphone based classification system for indoor navigation |
| publisher |
Trans Tech Publications Ltd., Switzerland |
| publishDate |
2015 |
| url |
http://irep.iium.edu.my/46560/ http://irep.iium.edu.my/46560/1/10.4028%40www.scientific.net%40AMM.775.436.pdf |
| first_indexed |
2023-09-18T21:06:17Z |
| last_indexed |
2023-09-18T21:06:17Z |
| _version_ |
1777410955157700608 |