Author: Youngjun Cho

Current students & Alumni supervised by Dr. Youngjun Cho at University College London

2019 / 20 Delaney Warren (Physiological Computing, MSc in DDI) Meg Obata (Physiological Computing, MSc in DDI) Alok Suresh (Machine Learning, MSc in CSML) Zak Morgan (Machine Learning, MEng in CS) Katherine Wang (Virtual Reality, MSc in DDI) Brian Min

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

[CHI 2018] “Deep Thermal Imaging”, Easy-to-use API

[Deep Thermal Imaging API] Source codes are available at   1. Requirement Matlab (version>2012) MatConvNet ( Deep CNN Framework for Matlab users.   2. Quick Summary of Main API DEEP THERMAL IMAGING – MAIN API Void deep_thermal_imaging_training_and_testing(kfold, numberofclass, filename, directory,

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