Using A Smartphone App To Assist The Visually Impaired At Signalized Intersections

Using a Smartphone App to Assist the Visually Impaired at Signalized Intersections

Universal Access in Human-Computer Interaction. Users and Context Diversity

The three-volume set LNCS 9737-9739 constitutes the refereed proceedings of the 10th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2016, held as part of the 10th International Conference on Human-Computer Interaction, HCII 2016, in Toronto, ON, Canada in July 2016, jointly with 15 other thematically similar conferences. The total of 1287 papers presented at the HCII 2016 conferences were carefully reviewed and selected from 4354 submissions. The papers included in the three UAHCI 2016 volumes address the following major topics: novel approaches to accessibility; design for all and eInclusion best practices; universal access in architecture and product design; personal and collective informatics in universal access; eye-tracking in universal access; multimodal and natural interaction for universal access; universal access to mobile interaction; virtual reality, 3D and universal access; intelligent and assistive environments; universal access to education and learning; technologies for ASD and cognitive disabilities; design for healthy aging and rehabilitation; universal access to media and games; and universal access to mobility and automotive.

Advances in Computer Vision

This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings. The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science,Image Processing, Deep Learning, and Computer Vision Applications.