Search Results for author: Simon J. Julier

Found 5 papers, 2 papers with code

Gradient-Based Interpretability Methods and Binarized Neural Networks

no code implementations23 Jun 2021 Amy Widdicombe, Simon J. Julier

Binarized Neural Networks (BNNs) have the potential to revolutionize the way that deep learning is carried out in edge computing platforms.


DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings

2 code implementations20 Aug 2017 Youngjun Cho, Nadia Bianchi-Berthouze, Simon J. Julier

Finally, a data augmentation technique, inspired from solutions for over-fitting problems in deep learning, is applied to allow the CNN to learn with a small-scale dataset from short-term measurements (e. g., up to a few hours).

Data Augmentation Mental Stress Detection +1

Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging

no code implementations8 May 2017 Youngjun Cho, Simon J. Julier, Nicolai Marquardt, Nadia Bianchi-Berthouze

In this paper, we propose a novel and robust approach for respiration tracking which compensates for the negative effects of variations in the ambient temperature and motion artifacts and can accurately extract breathing rates in highly dynamic thermal scenes.

Physiological Computing Quantization +1

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