Blog & Archive

[Deep Thermal Imaging API] Source codes are available at https://github.com/deepneuroscience/DeepThermalImaging   1. Requirement Matlab (version>2012) MatConvNet (https://github.com/vlfeat/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, isoutdoor) Trains and Tests on the given dataset. Input variables: kfold (the number of k for k-fold cross validation) numberofclass (the number of class (material types)) filename (the file name of your dataset) directory (the name
Archive
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 artefact) An example clip to show the performance of the proposed method (from Dataset3 - unconstrained respiration in fully mobile context and varied thermal dynamic range scenes)   Citation: Youngjun Cho, Simon J. Julier, Nicolai
Archive
Source code for "DeepBreath Project" Description: 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 thermal camera, we track a person's breathing patterns as temperature changes around his/her nostril. The paper's technical contribution is threefold. First of all, instead of creating hand-crafted features to capture aspects of the breathing patterns, we transform the uni-dimensional breathing signals into two dimensional respiration
Archive
Youngjun Cho - Computer Science Conference Ranking
(Source: Google Scholar Metrics) # Human Computer Interaction   Conference H5-index Computer Human Interaction (CHI) 83 ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 49 ACM Symposium on User Interface Software and Technology (UIST) 44 ACM Conference on Pervasive and Ubiquitous Computing (UbiComp) 41   # Computer Vision & Pattern Recognition Conference H5-index IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 140 IEEE International Conference on Computer Vision (ICCV) 92 European Conference on Computer
Archive
RealPen UIST2016
Description: 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 is to create a more engaging experience when writing on touch surfaces, such as screens of tablet computers. This is achieved by regenerating the friction induced oscillation and sound of a real writing tool in contact with paper. To generate realistic tactile feedback, our algorithm
Archive