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

Sun, 21 Jan 2018 02:04:51 GMT

Study: DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings Citation: Youngjun Cho, Nadia Bianchi-Berthouze, Simon J. Julier. arXiv:1708.06026 [cs.HC] Link: https://arxiv.org/abs/1708.06026 Abstract: 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…

Paper and discussion history. A mention is not an endorsement.

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

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