Patel Karan, Parmar Bhavesh
L. D College of Engineering, Gujarat Technological University, Ahmedabad, India.
Disabil Rehabil Assist Technol. 2022 Apr;17(3):290-297. doi: 10.1080/17483107.2020.1786731. Epub 2020 Jul 1.
The purpose of this article is to review the vision substitution devices based on computer vision and Image processing. The focus of this article is on reviewing devices that require coding and sensors mechanism.
Review of existing and commercially available vision assistive devices has been done. Comparison is based on feedback mechanics, adaptability in the surrounding environment, and functionality of devices. The study extended to advanced researches based on computer science and image processing. The integration of object detection and face recognition techniques in assistive devices for visually impaired in specific applications has been studied. Comparative analyses were presented.
The findings from this study suggest that a few assistive devices are available commercially. The commercially available assistive devices influenced by the mindsets of visually impaired and economical benefits. A combination of several devices can be fruitful in eliminating the limitation of an available device. Ample researches have been done for navigation, communication, object detection, and object recognition to assist visual impaired. The primary results might be promising, but most studies are not tested in actual conditions.
Various assistive devices for visually impaired are available commercially and several studies indicate further advancement. However, adaptability and trustworthiness are major issues. The primary reason behind this is the low-performance level of the device, feedback, and testing. The secondary reason is commercial availability and poor knowledge of the end-user.IMPLICATIONS FOR REHABILITATIONAdvancement in computer science and image processing has paved the way to assist sensory impaired in doing various activities.Assistive technologies play a pivotal role in daily activities of visually impaired by assisting them for communication, and mobility.Assistive technologies can lead visually impaired to make them self-sustained.Very few research and devices related to assistive technology had reached the stage of testing and commercialization.Researchers can utilize the study in providing better assistive technology for the visually impaired.
本文旨在综述基于计算机视觉和图像处理的视觉替代设备。本文重点是回顾需要编码和传感器机制的设备。
对现有的和市面上可买到的视觉辅助设备进行了综述。比较基于反馈机制、在周围环境中的适应性以及设备的功能。该研究扩展到基于计算机科学和图像处理的高级研究。研究了对象检测和人脸识别技术在特定应用中用于视障人士辅助设备的集成。进行了比较分析。
本研究结果表明市面上有一些辅助设备。市面上的辅助设备受到视障人士心态和经济效益的影响。几种设备的组合可能有助于消除现有设备的局限性。已经针对导航、通信、对象检测和对象识别进行了大量研究以帮助视障人士。初步结果可能很有前景,但大多数研究未在实际条件下进行测试。
市面上有各种用于视障人士的辅助设备,多项研究表明有进一步的进展。然而,适应性和可靠性是主要问题。背后的主要原因是设备的性能水平低、反馈和测试。次要原因是商业可用性和终端用户知识匮乏。
对康复的意义
计算机科学和图像处理的进步为帮助感官受损者进行各种活动铺平了道路。
辅助技术在视障人士的日常活动中发挥着关键作用,帮助他们进行通信和移动。
辅助技术可以使视障人士实现自我维持。
与辅助技术相关的研究和设备很少达到测试和商业化阶段。
研究人员可以利用该研究为视障人士提供更好的辅助技术。