A wearable obstacle detection system for visually impaired people

Conference contribution
(Abstract of a poster)


Publication Details

Author(s): Kurz J, Tharmalingam V, Pryakhina N, Hunger A, Ollenschläger M, Eskofier B
Publisher: IEEE
Publication year: 2019
Conference Proceedings Title: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Language: English


Abstract

Visually impaired people struggle with detecting obstacles in their upper body region which cannot be noticed by a common white cane. Therefore, we introduce the sensaid backpack, an obstacle detection system for blind people which covers head-to-hip region. Detection is based on ultrasonic sensors and feedback is given by vibration and audio within a distance of 1.5m and 0.7m, respectively. In a technical test the functionality and reliability were proven. The detection rate was determined at 94.4% in a practical user test. A limited detection rate was found for objects not perpendicular to the sensing device. 


FAU Authors / FAU Editors

Eskofier, Björn Prof. Dr.
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Kurz, Jennifer
Zentralinstitut für Medizintechnik
Ollenschläger, Malte
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)


How to cite

APA:
Kurz, J., Tharmalingam, V., Pryakhina, N., Hunger, A., Ollenschläger, M., & Eskofier, B. (2019, July). A wearable obstacle detection system for visually impaired people. Poster presentation at 41st International Engineering in Medicine and Biology Conference, Berlin, DE.

MLA:
Kurz, Jennifer, et al. "A wearable obstacle detection system for visually impaired people." Presented at 41st International Engineering in Medicine and Biology Conference, Berlin IEEE, 2019.

BibTeX: 

Last updated on 2019-16-07 at 13:11