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SUMMARY:Automated Mental Stress Recognition through Mobile Thermal Imaging
  - Youngjun Cho - UCL Interaction Centre
DTSTART:20171214T141500Z
DTEND:20171214T151500Z
UID:TALK95911@talks.cam.ac.uk
CONTACT:Marwa Mahmoud
DESCRIPTION:Mental stress is a critical problem in our modern society. Thi
 s form of stress strongly affects our well being\, and technology is neede
 d to help us to manage health problems. The ability to automatically recog
 nize a person’s mental stress can be fundamental in supporting stress an
 d health management. This research focuses on the use of mobile thermal im
 aging\, a new and less explored sensor\, to merge the measurement of multi
 ple physiological signatures into one sensor and to build a reliable menta
 l stress automatic recognition model. Mobile thermal imaging has greater p
 otentials for real-world applications given that it is small and light wei
 ght\, and requires low computation cost. To make mobile thermal imaging a 
 robust multimodal stress sensor\, we have so far contributed: i) a new rob
 ust respiration tracking method\; and ii) a novel respiration-based automa
 tic stress recognition model based on convolutional neural networks. We ar
 e currently investigating new thermal signatures and formulating a researc
 h framework to fuse multiple thermal signatures for more reliable stress r
 ecognition outcomes.\n\nShort Bio:\nYoungjun is currently pursuing his PhD
  at the UCL Interaction Centre (PALS in Faculty of Brain Sciences | Depart
 ment of Computer Sciences)\, University College London (UCL) under the sup
 ervision of Prof. Dr. Nadia Berthouze (primary supervisor)\, Dr. Simon Jul
 ier and Dr. Nicolai Marquardt (secondary supervisors). He received a MSc i
 n Robotics from KAIST (Korea Advanced Institute of Science and Technology)
  in 2011. Before joining UCLIC in November 2015\, he worked as a Senior Re
 search Engineer at the LG Electronics CTO Research division\, Seoul (2011-
 2015) and was a PI of 4D Touch Project\, which has been successfully comme
 rcialising a 3D input and gesture recognition technology in collaboration 
 with major automobile manufacturers in the world.\nHis research interests 
 include designing the principles\, techniques\, and technologies for the n
 ext generation of brain-computer interfaces that extend the interactive sp
 ace and enhance human perception\, and understand affects and psychophysio
 logy. In his PhD research\, he has been exploring (and made possible) the 
 use of low cost\, mobile\, biomedical thermography (1) to extract stress-r
 elated physiological signatures in mobile contexts and (2) to automaticall
 y monitor a person’s mental stress level. The aim is to develop technolo
 gy-based intervention to support a person’s psychological needs and well
 being. \nHis work on affective computing\, biomedical technology\, machine
  learning\, human-computer interaction and haptics has produced more than 
 50 patent publications (30 Granted) and 10 refereed academic papers.\n
LOCATION:SS03 Meeting Room\, Computer Laboratory
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