A wearable obstacle detection system for visually impaired people

Kurz J, Tharmalingam V, Pryakhina N, Hunger A, Ollenschläger M, Eskofier B (2019)

Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2019

Publisher: IEEE

Conference Proceedings Title: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Event location: Berlin DE

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. 

Authors with CRIS profile

Jennifer Kurz Zentralinstitut für Medizintechnik (ZiMT) Malte Seitz Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Björn Eskofier Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Additional Organisation(s)

Machine Learning and Data Analytics Lab

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.

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