There are over 1.2 million wheelchair users in the United Kingdom. And the number is set to rise in line with a growing and ageing population. Many wheelchair users face a variety of stressors of navigating in a city, such…
Prof. Youngjun Cho
Full Professor, Department of Computer Science, University College London (UCL)
Category: Archive
Archive
TIPA Opensource Project: Thermal Imaging-based Physiological and Affective computing toolkit
Mobile thermal imaging has created a new pathway to physiological measurements and affect recognition [1]. It enables contactless, simultaneous measurements of multiple vital signs and affective states. This can benefit healthcare, fitness sectors and specific user groups; for example, people…
UCL Grand Challenges: Developing Solutions
Authors: UCL Grand Challenges Team and Dr Youngjun Cho (GDI Hub & UCL Interaction Centre) The Global Disability Innovation Hub is challenging assumptions about disability and the design of assistive technology. The GDI Hub takes an inclusive approach that draws…
Assessing mental workload and accessibility issues in VR/AR applications for people with disability
Virtual reality (VR) and Augmented Reality (AR) have great potential as a technological intervention for disabled people [1-3]. However, most human factor research into VR/AR does not consider people with disabilities. In this project, we consider the accessibility challenges (e.g.…
Deep Thermal Imaging Toolkit @CHI2018
Full source codes are available at https://github.com/deepneuroscience/DeepThermalImaging 1. Requirement Matlab (version>2012) MatConvNet (https://github.com/vlfeat/matconvnet): Deep CNN Framework for Matlab users. 2. Quick Summary DEEP THERMAL IMAGING – Main Libraries Void deep_thermal_imaging_training_and_testing(kfold, numberofclass, filename, directory, isoutdoor) Trains and Tests on the given…
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