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…
Dr. Youngjun Cho
Associate Professor, Department of Computer Science, University College London (UCL)
Author: Youngjun Cho
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…
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…
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…
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…
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