Abstract

Part 4: New Interaction Techniques; International audience; The paper presents a case of Smart Shoes that uses ultrasonic sensors to detect the obstacle in front of the user. Additionally, this shoe signals a user by tapping at the foot arch. An evaluative study of the Smart Shoes was conducted with (n = 31) users; (17) blind people, (9) low vision and (5) non-disabled users. The study was conducted to judge reliability of the Smart Shoes by evaluating it from (a) ratio of obstacles identified to total obstacles encountered, (b) distance of obstacle apprehension and (c) response time. The study was conducted in a controlled and definite environment. The results from the study illustrate this footwear to be 89.5% effective in detecting obstacles such as vehicles, people, furniture, footpaths, poles, and miscellaneous obstacles with a mean response time of 3.08 s. Users average distance of obstacle apprehension was 108 cm in regular mode and 50 cm in the crowd mode. The future research & evaluative studies will be conducted in actual operational/moving environments. Document type: Part of book or chapter of book

Abstract

International audience; In this article, we discuss about the benefit of IoT for people with disabilities, particularly for visually impaired and blind people mobility. We propose a simple prototype using OpenStreetMap data combined to physical environment data measured from sensors connected to a Arduino board through Speech recognition.