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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

VR/AR Accessibility Youngjun Cho

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

Biomedical Optics Express Journal Paper: Supplementary Materials

Robust Tracking of Respiratory Rate

An example clip to show the performance of the proposed method (from Dataset1 – controlled respiration in environments with non-constant temperature) An example clip to show the performance of the proposed method (from Dataset2 – unconstrained respiration with natural motion

Matlab source codes: Stress Induction Tasks for “DeepBreath” @ACII2017

Source code for “DeepBreath Project” Description: We propose DeepBreath, a deep learning model which automatically recognises people’s psychological stress level (mental overload) from their breathing patterns. Using a low cost thermal camera, we track a person’s breathing patterns as temperature

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