Evaluation of realtime people tracking for indoor environments using ubiquitous motion sensors and limited wireless network infrastructure
| Autor: | Montserrat Ros, Tim Wark, Matthew D'Souza, Mohanraj Karunanithi |
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| Rok vydání: | 2013 |
| Předmět: |
Computer Networks and Communications
Computer science Wireless network business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wearable computer Ranging Tracking (particle physics) Computer Science Applications Hardware and Architecture Position (vector) Wireless Computer vision Artificial intelligence business Wireless sensor network Software Motion sensors Information Systems |
| Zdroj: | Pervasive and Mobile Computing. 9:498-515 |
| ISSN: | 1574-1192 |
| Popis: | We present the development and evaluation of a realtime indoor localisation system for tracking people. Our aim was to track a person’s indoor position using dead-reckoning, while limiting position error without depending on extensive wireless network infrastructure. The Indoor People Tracker used wearable motion sensors, a floor-plan map and a limited wireless sensor network for proximity ranging. We evaluated how the position accuracy of the Indoor People Tracker was affected by floor-plan map features, wireless proximity range and motion information. The advantage of the Indoor People Tracker was found; it was able to achieve accurate position resolution with minimal error, while not depending on wireless proximity. |
| Databáze: | OpenAIRE |
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