Blog & Archive

Understanding health benefits of fitness trackers during the COVID-19 Lockdown

Preprint 2021 Yuliang Chen and Youngjun Cho Department of Computer Science, University College London, London, UK Abstract:Fitness trackers have gained much attention as daily physiological computing intervention to promote self-monitoring and self-regulation. This paper investigates the usage patterns and perceived health benefits of commercial fitness trackers before and during the ...
This is a title slide presenting Rethinking Eye-blink

Rethinking Eye-blink Toolkit @CHI2021

Source codes are available at https://github.com/deepneuroscience/Rethinking-Eye-blink. Rethinking Eye-blink: Assessing Task Difficulty through Physiological Representation of Spontaneous Blinking Abstract:Continuous assessment of task difficulty and mental workload is essential in improving the usability and accessibility of interactive systems. Eye tracking data has often been investigated to achieve this ability, with reports on ...
Haptics for people with physical impairments

Haptics for Disabled People

Haptic technologies have enriched the ways we interact with people, computing agents and environments [1-3,6-10]. For the visually impaired community, the haptic modality has played a key role in way-finding applications [1,4-5]. Haptic smart cane is an example that has been shaping the way visually impaired people navigate on streets ...

Crowdsourcing physiological stress in wheelchair users during navigation

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 as crowdedness, potholes, temporary constructions [2,3]. It has shown that ...

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 with chronic pain who tend to reduce the number of ...

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 on the expertise of disabled people, practitioners, academics and the ...
VR/AR Accessibility Youngjun Cho

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. mental load, stress [5]) faced by people with a certain ...

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 shown that physiological signatures can be captured via non-contact thermal ...

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 health and life in our modern society (Nash & Thebarge, ...

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 dataset. Input variables: kfold (the number of k for k-fold cross ...