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Inclusive Design: What if we built a world that was accessible to all?

McKINNON, Iain
CARR, Peter
PATRICK, Mikaela
MONGOLIA RESEARCH TEAM
ASTERINA, Nina
October 2020

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This webinar, hosted by Global Disability Innovation (GDI) hub, brings together a diverse panel of experts to discuss what inclusive design looks like in practice for them, who benefits and how it can offer methods to build a more accessible world that benefits all of us.

 

Speakers presentations were:

  • What inclusive design means to GDI Hub and why it matters, drawing on our experience working in both the UK and globally
  • An overview of inclusive design of the built environment in the UK and Kenya, including the role of access panels to embed the views of disabled people in planning and decision-making
  • An introduction to GDI Hub’s AT2030 programme including our Inclusive Infrastructure research sub-programme that is conducting six global case studies in LMIC cities around the world over the next 2-3 years.
  • The challenges and opportunities for an accessible Mongolia and the importance of Disabled People’s Organisations (DPO) engagement in decision-making
  • The importance of inclusive planning processes for accessible cities in Indonesia

Development, reliability, and piloting of a wheelchair caster failure inspection tool (C-FIT)

MHATRE, Anand A
LACHELL, Stephanie
PEARLMAN, Jonathan L
2019

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Introduction: 

Wheelchair casters fail frequently in the field causing multiple user consequences and wheelchair breakdowns. To inform caster design improvement, there exists no validated tools that can collect caster failures. This need motivated the development of a user-reported, caster failure inspection tool (C-FIT).

 

Methods: 

To develop C-FIT, a multistep design and testing approach was used which included face validity testing, test-retest reliability testing and expert review. Reliability testing was conducted with two independent cohorts of wheelchair professionals who inspected caster failures physically and online through pictures. The tool was revised based on testing outcomes and expert feedback. For preliminary data collection and evaluating usability, C-FIT was piloted at wheelchair service centers in Scotland, Indonesia and Mexico.

 

Results: 

Caster failure items reported in the literature were screened to develop the initial list of C-FIT items. Face validity testing conducted through surveys with wheelchair experts (n = 6) provided 14 items for C-FIT inclusion. The test-retest reliability was found to be high for 10 items with physical failure inspections (n = 12). For each of these items, 75% or more participants had substantial to almost perfect agreement scores (κ = 0.6–1.0). Lower reliability scores were found with online failure inspections (n = 11). C-FIT received positive usability feedback from study participants and data collectors in the field. Pilot field data (n = 31) included comprehensive details about failures useful for manufacturers, designers and researchers to improve caster designs.

Conclusions: 

The C-FIT tool developed in this study has substantial reliability and can be used for documenting caster failures at wheelchair service centers.

Kinect4FOG: monitoring and improving mobility in people with Parkinson’s using a novel system incorporating the Microsoft Kinect v2

AMINI, Amin
BANITSAS, Konstantinos
YOUNG, William R
2018

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Parkinson’s is a neurodegenerative condition associated with several motor symptoms including tremors and slowness of movement. Freezing of gait (FOG); the sensation of one’s feet being “glued” to the floor, is one of the most debilitating symptoms associated with advanced Parkinson’s. FOG not only contributes to falls and related injuries, but also compromises quality of life as people often avoid engaging in functional daily activities both inside and outside the home. In the current study, we describe a novel system designed to detect FOG and falling in people with Parkinson’s (PwP) as well as monitoring and improving their mobility using laser-based visual cues cast by an automated laser system. The system utilizes a RGB-D sensor based on Microsoft Kinect v2 and a laser casting system consisting of two servo motors and an Arduino microcontroller. This system was evaluated by 15 PwP with FOG. Here, we present details of the system along with a summary of feedback provided by PwP. Despite limitations regarding its outdoor use, feedback was very positive in terms of domestic usability and convenience, where 12/15 PwP showed interest in installing and using the system at their homes.

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