Blind navigation is an accessibility application that enables blind to use an android Smartphone in an easy way for indoor navigation with instructions in audio form. We have proposed a prototype which is an indoor navigation application for blinds that uses QR codes. It is developed for android Smart phones and does not require any additional hardware for navigation. It provides automatic navigational assistance on pre-defined paths for blind. QR codes are placed on the floor sections after specific distance that acts as an input for current location detection and navigation. Whenever a QR code is scanned it provides the user with the information of the current location and asks the user to select the destination and then offers optimal and shortest path using path finding algorithms. During navigation whenever the deviation from the proposed path is detected it prompts the user and guides back to the right path by comparing the current path with the generated path. All of the instructions throughout the application are provided in audio form to the user. The interface of the application is well built for blinds which makes the smart phones user-friendly and useable for blind people. The user interacts with the application through a specific set of user-friendly gestures for specific inputs and operations. At the end, we have performed comparison between different state of art approaches and concluded that our approach is more user friendly, cost effective and produced more accurate results.
Enhanced Accessibility for Mobile Indoor Navigation
Fraunhofer Institute for Open Communication Systems (FOKUS)（弗劳恩霍夫开放通信系统研究所）；Daimler Center for Automotive IT Innovations (DCAITI)（戴姆勒汽车IT创新中心）；Hochschule für Technik und Wirtschaft University of Applied Sciences Berlin（柏林应用技术大学）
Augmented Reality Indoor Wayfinding in Hospital Environments An Empirical Study on Navigation Efficiency, User Experience, and Cognitive Load
University of Michigan School of Information（密歇根大学信息学院）；University of Michigan School of Nursing（密歇根大学护理学院）；University of Michigan School for Environment and Sustainability（密歇根大学环境可持续发展学院）；University of Michigan Medical School（密歇根大学医学院）
Touvigation: Embodied Adaptive Object Acquisition for Blind and Low-Vision Users in Unfamiliar Indoor Environments
Stony Brook University（石溪大学）；New York University（纽约大学）；Brown University（布朗大学）；Imperial College London（帝国理工学院）；Middlebury Institute of International Studies at Monterey（明德大学蒙特雷国际研究学院）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Tongji University（同济大学）；Shanghai Qibao Dwight High School（上海七宝德怀特高级中学）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））
Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People
University of Maryland, College Park（马里兰大学学院公园分校）；IBM Research - Tokyo（IBM东京研究院）；Waseda University（早稻田大学）；Miraikan - The National Museum of Emerging Science and Innovation（未来馆（日本未来科学馆））
How Much is too Much: Exploring the Effect of Verbal Route Description Length on Indoor Navigation
TCS Research（塔塔咨询服务研究中心）；Interdepartmental Center for Advances in Robotic Surgery - ICAROS（跨部门机器人外科进展中心（ICAROS））；University of Naples Federico II（那不勒斯费德里科二世大学）
Improving outdoor navigation for people with blindness using an AI-driven smartphone application and personalized audio guidance
John A. Paulson School of Engineering and Applied Sciences, Harvard University（哈佛大学约翰·A·保尔森工程与应用科学学院）；Kempner Institute for the Study of Artificial and Natural Intelligence, Harvard University（哈佛大学生物与人工智能研究所）
