Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques
Finding a destination in an unfamiliar indoor environment requires cumbersome effort to refer to a physical floor plan or directory to locate the intended destination. With the advancements of mobile technologies, a navigational system using mobile computing devices such as mobile phone or tablet co...
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| Format: | Article |
| Language: | English |
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SERC
2015
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| Online Access: | http://eprints.sunway.edu.my/319/ http://eprints.sunway.edu.my/319/1/Interactive%20Virtual%20Indoor%20Navigation%20System%20using%20Visual%20Recognition%20and%20Pedestrian%20Dead%20Reckoning%20Techniques.pdf |
| _version_ | 1848801800074821632 |
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| author | Chin, Gee Low * Lee, Yunli * |
| author_facet | Chin, Gee Low * Lee, Yunli * |
| author_sort | Chin, Gee Low * |
| building | SU Institutional Repository |
| collection | Online Access |
| description | Finding a destination in an unfamiliar indoor environment requires cumbersome effort to refer to a physical floor plan or directory to locate the intended destination. With the advancements of mobile technologies, a navigational system using mobile computing devices such as mobile phone or tablet could aid users in locating the desired destination with ease. This paper presented an interactive virtual indoor navigation system which is developed for Sunway University campus. In order to provide an interactive and context-sensitive navigation platform, a hybrid solution has been proposed by blending the sensor capabilities on the mobile devices to work in an indoor environment. These sensors include utilizing the built-in accelerometer, compass and camera capabilities to create an interactive content of indoor navigation system using visual recognition and pedestrian dead reckoning for Augmented Reality (AR). Furthermore, user satisfaction and feedback survey have been collected for further improvement the proposed solution. |
| first_indexed | 2025-11-14T21:13:12Z |
| format | Article |
| id | sunway-319 |
| institution | Sunway University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:13:12Z |
| publishDate | 2015 |
| publisher | SERC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | sunway-3192019-04-26T07:44:40Z http://eprints.sunway.edu.my/319/ Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques Chin, Gee Low * Lee, Yunli * QA75 Electronic computers. Computer science Finding a destination in an unfamiliar indoor environment requires cumbersome effort to refer to a physical floor plan or directory to locate the intended destination. With the advancements of mobile technologies, a navigational system using mobile computing devices such as mobile phone or tablet could aid users in locating the desired destination with ease. This paper presented an interactive virtual indoor navigation system which is developed for Sunway University campus. In order to provide an interactive and context-sensitive navigation platform, a hybrid solution has been proposed by blending the sensor capabilities on the mobile devices to work in an indoor environment. These sensors include utilizing the built-in accelerometer, compass and camera capabilities to create an interactive content of indoor navigation system using visual recognition and pedestrian dead reckoning for Augmented Reality (AR). Furthermore, user satisfaction and feedback survey have been collected for further improvement the proposed solution. SERC 2015-09 Article PeerReviewed text en cc_by http://eprints.sunway.edu.my/319/1/Interactive%20Virtual%20Indoor%20Navigation%20System%20using%20Visual%20Recognition%20and%20Pedestrian%20Dead%20Reckoning%20Techniques.pdf Chin, Gee Low * and Lee, Yunli * (2015) Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques. International Journal of Software Engineering and its Applications, 9 (8). pp. 15-24. ISSN 1738-9984 http://www.sersc.org/journals/IJSEIA/ |
| spellingShingle | QA75 Electronic computers. Computer science Chin, Gee Low * Lee, Yunli * Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques |
| title | Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques |
| title_full | Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques |
| title_fullStr | Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques |
| title_full_unstemmed | Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques |
| title_short | Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques |
| title_sort | interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.sunway.edu.my/319/ http://eprints.sunway.edu.my/319/ http://eprints.sunway.edu.my/319/1/Interactive%20Virtual%20Indoor%20Navigation%20System%20using%20Visual%20Recognition%20and%20Pedestrian%20Dead%20Reckoning%20Techniques.pdf |