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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
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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
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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
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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
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Mechatronics Technology in Mobile Devices
D.-S. Kwon, T.-H. Yang, and Youngjun Cho, "Mechatronics Technology in Mobile Devices", Industrial Electronics Magazine, IEEE, 10.1109, pp.36-41, 2010 (Impact Factor: 10.71 (2016/2017))    
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