An overview of machine learning and 5G for people with disabilities

Currently, over a billion people, including children (or about 15% of the world’s population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experience poorer levels of health, fewer achievements in education, fewer economic opportunities, and higher rates of poverty. Artificial intelligence and 5G can make major contributions towards the assistance of people with disabilities, so they can achieve a good quality of life. In this paper, an overview of machine learning and 5G for people with disabilities is provided. For this purpose, the proposed 5G network slicing architecture for disabled people is introduced. Different application scenarios and their main benefits are considered to illustrate the interaction of machine learning and 5G. Critical challenges have been identified and addressed.This work has been supported by the Agencia Estatal de Investigación of Ministerio de Ciencia e Innovación of Spain under project PID2019-108713RB-C51 MCIN/ AEI /10.13039/501100011033.Postprint (published version

Wireless Channel Assessment of Auditoriums for the Deployment of Augmented Reality Systems for Enhanced Show Experience of Impaired Persons

[Abstract] Auditoriums and theaters are buildings in which concerts, shows, and conferences are held, offering a diverse and dynamic cultural program to citizens. Unfortunately, people with impairments usually have difficulties in fully experiencing all the provided cultural activities, since such environments are not totally adapted to their necessities. For example, in an auditorium, visually impaired users have to be accompanied to their seats by staff, as well as when the person wants to leave the event in the middle of the show (e.g., to go to the toilet), or when he/she wants to move around during breaks. This work is aimed at improving the autonomy of disabled people within the mentioned kinds of environments, as well as enhancing their show experiences by deploying wireless sensor networks and wireless body area networks connected to an augmented reality device (Microsoft HoloLens smart glasses). For that purpose, intensive measurements have been taken in a real scenario (the Baluarte Congress Center and Auditorium of Navarre) located in the city of Pamplona. The results show that this kind of environment presents high wireless interference at different frequency bands, due to the existing wireless systems deployed within them, such as multiple WiFi access points, wireless microphones, or wireless communication systems used by the show staff. Therefore, radio channel simulations have been also performed with the aim of assessing the potential deployment of the proposed solution. The presented work can lead to the deployment of augmented reality systems within auditoriums and theaters, boosting the development of new applications.Xunta de Galicia; ED431C 2016-045Xunta de Galicia; , ED431G/01Ministerio de Ciencia, Innovación y Universidades; RTI2018-095499-B-C3

Interdependence as a Frame for Assistive Technology Research and Design

In this paper, we describe interdependence for assistive technology design, a frame developed to complement the traditional focus on independence in the Assistive Technology field. Interdependence emphasizes collaborative access and people with disabilities' important and often understated contribution in these efforts. We lay the foundation of this frame with literature from the academic discipline of Disability Studies and popular media contributed by contemporary disability justice activists. Then, drawing on cases from our own work, we show how the interdependence frame (1) synthesizes findings from a growing body of research in the Assistive Technology field and (2) helps us orient to additional technology design opportunities. We position interdependence as one possible orientation to, not a prescription for, research and design practice--one that opens new design possibilities and affirms our commitment to equal access for people with disabilities

Inclusive Communication with Augmented Reality for deaf and hard of hearing

UIDB/05021/2020 UIDP/05021/2020Deafness is an often undervalued but increasing problem amongst world’s population. Besides the difficulty in hearing sounds, it involves many cognitive and emotional issues, like learning difficulties, isolation and disempowerment. In this paper, designing artefacts for deaf people is analyzed from two different perspectives: technology and communication science. Regarding technical issues, research shows how Augmented Reality can be applied using screen interfaces or smart glasses translating sounds into visual stimuli; from the communication side, the focus is on storytelling and how it can be combined with the technology referred to engage people, enhance learning activity and create a community. By looking into these two aspects, the suggested approach is to merge them in a conceptual creative project that can be appealing and useful to the public, through the use of interactive storytelling, while also using the visual benefits of an immersive Augmented Reality experience.publishersversionpublishe

Foregrounding accessibility for user experience design

textI am interested in creating generative tools and techniques for designing accessible user experiences for end users. As a user experience designer, I am working on embracing the web accessibility standards and guidelines and including them from the beginning of the User Experience (UX) design process. My projects are directed at facilitating design students and professionals to understand two things: that the broad concept of web accessibility is important, and how they can embed web accessibility into the UX design process at a very early stage. To do this, I used different media (website, posters and videos etc.) to create awareness and educate designers in an interesting, simple and engaging way. In this report, I will discuss the definition and role of accessible design, identify limitations in existing tools and methods, and demonstrate how future designers might research, prototype, analyze, and implement their designs for all users.Desig

Disability and minimum living standards: the additional costs of living for people who are sight impaired and people who are deaf

For the first time, the methods used to calculate the Minimum Income Standard (MIS) have been applied to the living costs of people with disabilities. This research, funded by Thomas Pocklington Trust, looked at sight loss and hearing loss and showed clearly that both impairments lead to substantial extra costs if a minimum acceptable standard of living is to be reached. The research is based on detailed deliberation among groups of people with sight and hearing loss about additions that need to be made to a standard MIS household budget for a single person of working age as a result of specific impairments. The examples considered in this study were: someone eligible to be certified as sight impaired, and a Deaf person who uses British Sign Language. The research demonstrates how this method can help both to quantify the extra costs of disability and to describe where and why they arise

A comparative study in real-time scene sonification for visually impaired people

In recent years, with the development of depth cameras and scene detection algorithms, a wide variety of electronic travel aids for visually impaired people have been proposed. However, it is still challenging to convey scene information to visually impaired people efficiently. In this paper, we propose three different auditory-based interaction methods, i.e., depth image sonification, obstacle sonification as well as path sonification, which convey raw depth images, obstacle information and path information respectively to visually impaired people. Three sonification methods are compared comprehensively through a field experiment attended by twelve visually impaired participants. The results show that the sonification of high-level scene information, such as the direction of pathway, is easier to learn and adapt, and is more suitable for point-to-point navigation. In contrast, through the sonification of low-level scene information, such as raw depth images, visually impaired people can understand the surrounding environment more comprehensively. Furthermore, there is no interaction method that is best suited for all participants in the experiment, and visually impaired individuals need a period of time to find the most suitable interaction method. Our findings highlight the features and the differences of three scene detection algorithms and the corresponding sonification methods. The results provide insights into the design of electronic travel aids, and the conclusions can also be applied in other fields, such as the sound feedback of virtual reality applications