143 citations · 796 across the 22 of their papers we have counts for
8 papers · 1 filter
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study
Ahmed Alqaraawi, Martin Schuessler, Philipp Weiß +2
Convolutional neural networks (CNNs) offer great machine learning performance over a range of applications, but their operation is hard to interpret, even for experts. Various expl…
Physiological and Affective Computing through Thermal Imaging: A Survey
Youngjun Cho, Nadia Bianchi-Berthouze
Thermal imaging-based physiological and affective computing is an emerging research area enabling technologies to monitor our bodily functions and understand psychological and affe…
Nose Heat: Exploring Stress-induced Nasal Thermal Variability through Mobile Thermal Imaging
Youngjun Cho, Nadia Bianchi-Berthouze, Manuel Oliveira +2
Automatically monitoring and quantifying stress-induced thermal dynamic information in real-world settings is an extremely important but challenging problem. In this paper, we expl…
Chronic-Pain Protective Behavior Detection with Deep Learning
Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur +3
In chronic pain rehabilitation, physiotherapists adapt physical activity to patients' performance based on their expression of protective behavior, gradually exposing them to feare…
Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration
Temitayo A. Olugbade, Joseph Newbold, Rose Johnson +6
For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem sol…
RealPen: Providing Realism in Handwriting Tasks on Touch Surfaces using Auditory-Tactile Feedback
Youngjun Cho, Andrea Bianchi, Nicolai Marquardt +1
We present RealPen, an augmented stylus for capacitive tablet screens that recreates the physical sensation of writing on paper with a pencil, ball-point pen or marker pen. The aim…
ThermSense: Smartphone-based Breathing Sensing Platform using Noncontact Low-Cost Thermal Camera
Youngjun Cho, Nadia Bianchi-Berthouze, Simon J. Julier +1
The ability of sensing breathing is becoming an increasingly important function for technology that aims at supporting both psychological and physical wellbeing. We demonstrate The…
DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings
Youngjun Cho, Nadia Bianchi-Berthouze, Simon J. Julier
We propose DeepBreath, a deep learning model which automatically recognises people's psychological stress level (mental overload) from their breathing patterns. Using a low cost th…