Multimedia for Accessible Human Computer Interfaces

PART I: VISION-BASED TECHNOLOGIES FOR ACCESSIBLE HUMAN COMPUTER INTERFACES.- Chapter 1: A Framework for Gaze-contingent Interfaces.- Chapter 2: Sign Language Recognition.- Chapter 3: Fusion-based Image Enhancement and its Applications in Mobile Devices.- Chapter 4: Open-domain Textual Question Answering Systems.-  PART II: AUDITORY TECHNOLOGIES FOR ACCESSIBLE HUMAN COMPUTER INTERFACES.- Chapter 5: Speech Recognition for Individuals with Voice Disorders.- Chapter 6: Socially Assistive Robots for Storytelling and Other Activities to Support Aging in Place.-  PART III: HAPTIC TECHNOLOGIES FOR ACCESSIBLE HUMAN COMPUTER INTERFACES.- Chapter 7: Accessible Smart Coaching Technologies Inspired by Elderly Requisites.- Chapter 8: Haptic Mediators for Remote Interpersonal Communication.- PART IV: MULTIMODAL TECHNOLOGIES FOR ACCESSIBLE HUMAN COMPUTER INTERFACES.- Chapter 9: Human-Machine Interfaces for Socially Connected Devices: From Smart Households to Smart Cities.- Chapter 10: Enhancing Situational Awareness and Kinesthetic Assistance for Clinicians via Augmented-Reality and Haptic Shared-Control Technologies.

Troy McDaniel is an Assistant Professor of Engineering in the Polytechnic School at Arizona State University. He is the Director of the Center for Cognitive Ubiquitous Computing and the HAPT-X Laboratory. His research interests span the areas of haptic interfaces, human-robot interaction, human-computer interaction, and smart cities. He is particularly interested in tactile vision sensory substitution and haptic human augmentation. He focuses on applications involving assistive, rehabilitative, and healthcare technologies for individuals with sensory, cognitive, or physical impairments. Within these applications, he explores new haptic interaction paradigms and novel mappings between modalities to convey information in alternative ways. He is also actively exploring challenges related to accessibility and health & well-being within smart city and smart living applications using person- and citizen-centered approaches. He has authored more than 50 peer-reviewed publications and co-edited Haptic Interfaces for Accessibility, Health, and Enhanced Quality of Life. He holds a bachelor's and Ph.D. degree in Computer Science from Arizona State University.

Xueliang Liu is a Professor in School of Computer Science and Information Engineering in Hefei University of Technology, China. His research interests include multimedia retrieval, social media analysis and object detection. He has authored over 40 journal and conference papers in these areas. He has served as the area chair of ACM Multimedia, and on technical program committees of numerous multimedia and information retrieval conferences including ACM Multimedia (MM), ACM SIGIR, International Conf. on Multimedia Retrieval (ICMR) and International Conf. on Multimedia and Expo (ICME). He has received the outstanding service award at PCM 2018, the best reviewer award at PCM 2013, and the best demo award at ACM MM 2007. He has also been the program chair of the ACM workshop on Multimedia for Accessible Human