Author: Youngjun Cho

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.

Non-contact Physiological Measurement

As humans are homeothermic, our internal temperature is closely linked with numerous physiological and psychological mechanisms. Given this, human thermal patterns have been explored to improve the understandings of our body for a couple of centuries (Cho, 2019). Researchers have

Automatic Recognition of Psychological States (eg. Mental Stress)

With sensing technology becoming pervasive in our everyday life, the ability to monitor human psychological states has become important in human computer interaction. Amongst such states, high level mental stress or mental workload is a common problem affecting mental, physical

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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