Demo
| Autor: | Federica Inderst, Giovanni Ettore Galioto, Laura Giarre, Ilenia Tinnirello, Daniele Croce, Federica Pascucci |
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| Přispěvatelé: | Galioto, Giovanni, Tinnirello, Ilenia, Croce, Daniele, Inderst, Federica, Pascucci, Federica, Giarrã©, Laura, Galioto G., Tinnirello I., Croce D., Inderst F., Pascucci F., Giarre L. |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Sensor Fusion Computer science Visually impaired business.industry 05 social sciences Tracking system Sensor fusion Navigation 03 medical and health sciences Computer Networks and Communication 030104 developmental biology Software Colored Hardware and Architecture Localization 0501 psychology and cognitive sciences Computer vision Artificial intelligence Visually Impaired business Joint (audio engineering) 050107 human factors |
| Zdroj: | MobiCom |
| DOI: | 10.1145/3117811.3119858 |
| Popis: | We present an innovative smartphone-centric tracking system for indoor and outdoor environments, based on the joint utilization of dead-reckoning and computer vision (CV) techniques. The system is explicitly designed for visually impaired people (although it could be easily generalized to other users) and it is built under the assumption that special reference signals, such as painted lines, colored tapes or tactile pavings are deployed in the environment for guiding visually impaired users along pre-defined paths. Thanks to highly optimized software, we are able to execute the CV and sensor-fusion algorithms in run-time on low power hardware such as a normal smartphone, precisely tracking the users movements. |
| Databáze: | OpenAIRE |
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