What difference does tech make? Conceptualizations of Disability and Assistive Technology among Kenyan Youth: Conceptualizations of Disability and AT

Most research which investigates stigma towards with people with disabilities and the use of Assistive Technology (AT) are based in the Global North and focus on the experiences of people with disabilities and the consequences that stigma has on choices surrounding AT. However, stigma is a societal construct rooted in the attitude and beliefs that people without disabilities hold on disability and AT. Furthermore, the portrayal of people with disabilities and AT is dependent on the social context. In this paper, we examine how young Kenyans without disabilities view people with disabilities and AT users. Findings show that while the portrayal of disability is often shaped by negative emotion, participants felt that many of the barriers affecting people with disabilities were created by society. Perceptions of AT differed-devices were not only seen as a mark of disability but also as a sign of access to resources. Therefore, what we see is an emergent picture where social barriers can be reinforced by poverty, and where poverty reinforces social barriers faced by people with disabilities. We conclude that access to appropriate technology alongside societal interventions tackling incorrect beliefs about disability can help to overcome the stigma faced by people with disabilities

A deep learning approach to non-linearity in wearable stretch sensors

There is a growing need for flexible stretch sensors to monitor real time stress and strain in wearable technology. However, developing stretch sensors with linear responses is difficult due to viscoelastic and strain rate dependent effects. Instead of trying to engineer the perfect linear sensor we take a deep learning approach which can cope with non-linearity and yet still deliver reliable results. We present a general method for calibrating highly hysteretic resistive stretch sensors. We show results for textile and elastomeric stretch sensors however we believe the method is directly applicable to any physical choice of sensor material and fabrication, and easily adaptable to other sensing methods, such as those based on capacitance. Our algorithm does not require any a priori knowledge of the physical attributes or geometry of the sensor to be calibrated, which is a key advantage as stretchable sensors are generally applicable to highly complex geometries with integrated electronics requiring bespoke manufacture. The method involves three-stages. The first stage requires a calibration step in which the strain of the sensor material is measured using a webcam while the electrical response is measured via a set of arduino-based electronics. During this data collection stage, the strain is applied manually by pulling the sensor over a range of strains and strain rates corresponding to the realistic in-use strain and strain rates. The correlated data between electrical resistance and measured strain and strain rate are stored. In the second stage the data is passed to a Long Short Term Memory Neural Network (LSTM) which is trained using part of the data set. The ability of the LSTM to predict the strain state given a stream of unseen electrical resistance data is then assessed and the maximum errors established. In the third stage the sensor is removed from the webcam calibration set-up and embedded in the wearable application where the live stream of electrical resistance is the only measure of strain - this corresponds to the proposed use case. Highly accurate stretch topology mapping is achieved for the three commercially available flexible sensor materials tested

A Preliminary Study to Understand How Mainstream Accessibility and Digital Assistive Technologies Reaches People in Lower- and Middle-Income Countries

Accessibility to mainstream digital devices and the use of Digital Assistive Technologies (Digital AT) facilitates participation and improves function and independece of people with disabilities in these regions. However, mainstream access is not fully realised in LMICs and there are multiple barriers in the way for the uptake and use of Digital AT. Through a thematic analysis of interviews with eight expert professionals in the domain of provisioning Digital AT and its related services in LMICs, we discuss five steps or barriers for the uptake and use of Digital AT and have identified three practical strategies that have shown evidence to overcome these barriers. Developers of Digital AT will find these insights useful and the same will provide an understanding of the market to business strategists to deliver pathways to better accessibility services and new Digital AT

AT innovation ecosystem design – a kenyan case study

Innovations within the AT space frequently fail to get to market and therefore to the people who could benefit from the products. The Scoping Report which underpins the AT2030 programme identified the need to test and develop “what works” for AT innovation to ensure new products, services and approaches are able to scale and reach people, especially people living in low- and middle-income countries. This paper sets out the initial thinking for an East Africa Innovation Ecosystem. We present the emerging thinking from initial scoping exercises and product trials which have helped to shape the newly launched Innovate Now ecosystem. We outline the ecosystem including the core elements – the accelerator programmes and Live Labs. Live labs will allow for rapid innovation testing and user feedback. Thus, increasing user-involvement in the design and development process, and reducing the time to market. The Innovate Now ecosystem is growing and is being led by AMREF. Successful graduates of innovate Now will be connected into the Innovation Scale Fund which will be launched by AT2030 next year (2020)

Additive manufacturing techniques for smart prosthetic liners

Elastomeric liners are commonly worn between the prosthetic socket and the limb. A number of improvements to the state of the art of liner technology are required to address outstanding problems. A liner that conforms to the residuum more accurately, may improve the skin health at the stump-socket interface. Previous work has shown that for effective thermal management of the socket environment, an active heat removal system is required, yet this is not available. Volume tracking of the stump could be used as a diagnostic tool for looking at the changes that occur across the day for all users, which depend on activity level, position, and the interaction forces of the prosthetic socket with the limb. We believe that it would be advantageous to embed these devices into a smart liner, which could be replaced and repaired more easily than the highly costly and labour-intensive custom-made socket. This paper presents the work to develop these capabilities in soft material technology, with: the development of a printable nanocomposite stretch sensor system; a low-cost digital method for casting bespoke prosthetic liners; a liner with an embedded stretch sensor for growth / volume tracking; a model liner with an embedded active cooling system

Bridging the Divide: Exploring the use of digital and physical technology to aid mobility impaired people living in an informal settlement

Living in informality is challenging. It is even harder when you have a mobility impairment. Traditional assistive products such as wheelchairs are essential to enable people to travel. Wheelchairs are considered a Human Right. However, they are difficult to access. On the other hand, mobile phones are becoming ubiquitous and are increasingly seen as an assistive technology. Should therefore a mobile phone be considered a Human Right? To help understand the role of the mobile phone in contrast of a more traditional assistive technology – the wheelchair, we conducted contextual interviews with eight mobility impaired people who live in Kibera, a large informal settlement in Nairobi. Our findings show mobile phones act as an accessibility bridge when physical accessibility becomes too challenging. We explore our findings from two perspective – human infrastructure and interdependence, contributing an understanding of the role supported interactions play in enabling both the wheelchair and the mobile phone to be used. This further demonstrates the critical nature of designing for context and understanding the social fabric that characterizes informal settlements. It is this social fabric which enables the technology to be useable