iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users
location for mobile user. It works with small mobile devices such as PDAs and it is combined with the speech recognition systems on how the environment response delivered to the location of the user. It has been developed using an advanced and robust algorithm in determining user location for indo...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/23125/ http://irep.iium.edu.my/23125/1/p35.pdf |
| _version_ | 1848779110843678720 |
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| author | Mantoro, Teddy Borovac, Amir |
| author_facet | Mantoro, Teddy Borovac, Amir |
| author_sort | Mantoro, Teddy |
| building | IIUM Repository |
| collection | Online Access |
| description | location for mobile user. It works with small mobile devices such as PDAs and it is combined with the
speech recognition systems on how the environment response delivered to the location of the user. It has
been developed using an advanced and robust algorithm in determining user location for indoor
environment which offers location precision accuracy in small room scale.
iLukBa capable to handle the unpredictability of IEEE 802.11 (Wifi) signals across perturbation in
space, and in time (diurnally) by using Wifi's signal strenght.iLukBa also provides direct service delivery
when a user on the move from on location to another, the environment response in delevering service is
based on the speed of user.Dynamic buffer is created, the buffer size depends on the speed of the user.
The faster a user moves, the smaller the buffer in delevering the speech.iLukBa is a proof of concept of a
low cost smart environment capability , i.e. indoor user location can be determined and the environment
response can be delivered using speech recognition based on indoor user location. |
| first_indexed | 2025-11-14T15:12:34Z |
| format | Proceeding Paper |
| id | iium-23125 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:12:34Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-231252012-06-21T07:02:33Z http://irep.iium.edu.my/23125/ iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users Mantoro, Teddy Borovac, Amir QA75 Electronic computers. Computer science location for mobile user. It works with small mobile devices such as PDAs and it is combined with the speech recognition systems on how the environment response delivered to the location of the user. It has been developed using an advanced and robust algorithm in determining user location for indoor environment which offers location precision accuracy in small room scale. iLukBa capable to handle the unpredictability of IEEE 802.11 (Wifi) signals across perturbation in space, and in time (diurnally) by using Wifi's signal strenght.iLukBa also provides direct service delivery when a user on the move from on location to another, the environment response in delevering service is based on the speed of user.Dynamic buffer is created, the buffer size depends on the speed of the user. The faster a user moves, the smaller the buffer in delevering the speech.iLukBa is a proof of concept of a low cost smart environment capability , i.e. indoor user location can be determined and the environment response can be delivered using speech recognition based on indoor user location. 2010 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/23125/1/p35.pdf Mantoro, Teddy and Borovac, Amir (2010) iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users. In: IIUM Research, Innovation & Invention Exhibition (IRIIE 2010), 26 - 27 January 2010, Kuala Lumpur. http://www.iium.edu.my/irie/10/sub10/author/list_p.php |
| spellingShingle | QA75 Electronic computers. Computer science Mantoro, Teddy Borovac, Amir iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users |
| title | iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users |
| title_full | iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users |
| title_fullStr | iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users |
| title_full_unstemmed | iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users |
| title_short | iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users |
| title_sort | ilukba ver 1.1 : indoor user location system with speech recognition for mobile users |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/23125/ http://irep.iium.edu.my/23125/ http://irep.iium.edu.my/23125/1/p35.pdf |