Abstract
This work describes a mobile application (Sainet) for image processing as an assistive technology devoted to visually impaired users. The app is targeted to the Android platform and usually executed in a mobile device equipped with a back camera for image acquisition. Moreover, a wireless bluetooth headphone provides the audio feedback to the user. Sainet has been conceived as an assistance tool to the user in a social interaction scenario. It is capable of providing audible information about the number and position (distance and orientation) of the interlocutors in the user frontal scenario. For validation purposes the app has been tested by a blind user who has provided valuable insights about its strengths and weaknesses.
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Notes
- 1.
Vision and Intelligent Systems Research Group at University of Castilla-La Mancha.
- 2.
This message is a translation for the actual Spanish implementation.
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Acknowledgments
This work describes the results for the project SAINET funded by a grant from the Indra-UCLM university Chair and the Adecco Foundation. The authors want to acknowledge the received collaboration from the VISILAB Research Group and specially to Sergio Vera, Francisco Torres and Jesús Manzano.
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Salido, J., Deniz, O., Bueno, G. (2016). Sainet: An Image Processing App for Assistance of Visually Impaired People in Social Interaction Scenarios. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2016. Lecture Notes in Computer Science(), vol 9656. Springer, Cham. https://doi.org/10.1007/978-3-319-31744-1_42
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