An Astute Assistive Device for Mobility and Object Recognition for Visually Impaired People

障碍物 计算机科学 鉴定(生物学) 射频识别 方向(向量空间) 计算机视觉 人机交互 对象(语法) 视觉对象识别的认知神经科学 路径(计算) 人工智能 实时计算 计算机安全 植物 政治学 生物 程序设计语言 法学 几何学 数学
作者
Vidula Meshram,Kailas Patil,Vishal Meshram,Felix Che Shu
出处
期刊:IEEE Transactions on Human-Machine Systems [Institute of Electrical and Electronics Engineers]
卷期号:49 (5): 449-460 被引量:113
标识
DOI:10.1109/thms.2019.2931745
摘要

To provide autonomous navigation and orientation to visually impaired people, this article proposes a new electronic assistive device called the NavCane. The device helps people find obstacle-free paths in both indoor and outdoor settings. The NavCane also aids in the recognition of objects in an indoor setting. The advantage of the NavCane device is that it provides priority information about obstacles in the path without causing information overload. The priority information deduced by the system is transmitted to the user using tactile and auditory communication methods. Unlike existing electronic travel assistance systems which are limited to obstacle detection and path finding, the NavCane also helps users by recognizing objects in known indoor settings. The developed prototype is low cost and as a low power embedded device for obstacle detection and obstacle identification, it is an alternative to machine vision systems. It has a radio-frequency identification reader, ultrasonic sensors, a global system for mobile communication module, a global positioning system module, vibration motors, a gyroscope, a wet floor sensor, and a battery. To test the usefulness of the NavCane in mundane commuting, object recognition, and rehabilitation for visually impaired people, we assessed it with the help of 80 visually impaired people from a blind school and a home for elderly people. All the assessments were executed in controlled indoor and outdoor test environments with both a NavCane and a white cane. The experimental results show that the NavCane is an effective device for detecting of obstacles, ascending and descending staircases, navigating wet floors, and object recognition in environments that are known and unknown to the user. In addition, our evaluation results indicate that the NavCane improves the performance of obstacle-free navigation compared to a white cane.
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