Youngjun Cho

Youngjun Cho
͏͏
[email address hidden]
+44 (0)20 3108 7177 (x57177)
Room: 2.04
UCLIC, University College London
66 - 72 Gower Street
London, WC1E 6EA
United Kingdom

Brief biography

Youngjun Cho is a lecturer in the department of computer science at UCL. He explores, builds and evaluates novel techniques and technologies for the next generation of physiological computing1 that boosts disability technology innovation.
In his PhD research at UCL (UCL Interaction Centre), he had investigated mobile thermal imaging-based physiological sensing and automated stress detection for mental health innovation (Supervisors: Prof. Nadia Berthouze, Dr. Simon Julier, Dr. Nicolai Marquardt). Before deciding to undertake his PhD study in 2015, he had worked as a senior searcher and specialist at LG Electronics (full-time: 2011-2015, leave of absence:2015-2018) and was a PI/Co-I/Lead researcher of a variety of industrial research projects. Amongst his contributions, novel 3D input and gesture recognition technologies (as advanced touch screen solutions in vehicles) were successfully commercialised in collaboration with automobile manufacturers including Porsche and BMW.
His academic research and studies were mainly funded by the EU H2020, UCL-ORS, National Research Foundation of Korea, LG and Samsung. He has authored more than 50 articles (including patents) in areas related to physiological computing, machine learning, human-computer interaction and multimodal sensing and feedback. Some of the achievements have been featured in forums for the general public such as BBC News, Phys.Org, Imaging and Machine Vision Europe, Science Daily, and SBS News.

1His definition of physiological computing is technology that listens to your physiological and psychological needs and adapts its functionality. Its three technical components are physiological sensing, affect recognition and bio-feedback.

Publication and Patent

Research Publications

Authors
Title
Year
Publication
Youngjun Cho, Nadia Berthouze, S Julier Automated Inference of Cognitive Stress in-the-Wild 2018 3rd Symposium on Computing and Mental Health, Conference abstract/presentation slides, Montreal, QC, Canada
Youngjun Cho, Nadia Berthouze, Nicolai Marquardt, S Julier Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns 2018 2018 CHI Conference on Human Factors in Computing Systems (CHI 2018), Conference paper (text), Montreal, QC, Canada
Youngjun Cho Automated Mental Stress Recognition through Mobile Thermal Imaging 2018 International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text), San Antonio, the US
Youngjun Cho, N Bianchi-Berthouze, S Julier DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings 2017 International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text), San Antonio, the US
Youngjun Cho, N Bianchi-Berthouze, S Julier, Nicolai Marquardt ThermSense: Smartphone-based Breathing Sensing Platform using Noncontact Low-Cost Thermal Camera 2017 International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text), San Antonio, US
Youngjun Cho, SJ Julier, Nicolai Marquardt, N Bianchi-Berthouze Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging 2017 Biomedical Optics Express, 2017, Journal article
Youngjun Cho, A Bianchi, Nicolai Marquardt, NL Bianchi-Berthouze RealPen: Providing Realism in Handwriting Tasks on Touch Surface using Auditory-Tactile Feedback 2016 User Interface Software and Technology Symposium (UIST'16), Conference paper (text), Tokyo, Japan
Youngjun Cho, S Kim, M Joung, J Lee Haptic Cushion: Automatic Generation of Vibro- tactile Feedback Based on Audio Signal for Immersive Interaction with Multimedia 2014 ACTUATOR 2014, 14th International Conference on New Actuators, Conference paper (text), Bremen, Germany
T-H Yang, D Pyo, S-Y Kim, Youngjun Cho, YD Bae, YM Lee, JS Lee, EH Lee, D-S Kwon A new subminiature impact actuator for mobile devices 2011 World Haptics Conference (WHC), 2011 IEEE, Conference paper (text), IEEE
Youngjun Cho, T-H Yang, D-S Kwon A new miniature smart actuator based on piezoelectric material and solenoid for mobile devices 2010 The Abstracts of the international conference on advanced mechatronics: toward evolutionary fusion of IT and mechatronics: ICAM 2010.5, Conference paper (text), The Japan Society of Mechanical Engineers
D-S Kwon, T-H Yang, Youngjun Cho Mechatronics technology in mobile devices 2010 IEEE Industrial Electronics Magazine, Journal article
Youngjun Cho, SJ Julier, Nicolai Marquardt, N Bianchi-Berthouze Robust respiration tracking in high-dynamic range scenes using mobile thermal imaging N/A Journal article