Recent development of respiratory rate measurement technologies

H Liu, J Allen, D Zheng, F Chen - Physiological measurement, 2019 - iopscience.iop.org
Respiratory rate (RR) is an important physiological parameter whose abnormality has been
regarded as an important indicator of serious illness. In order to make RR monitoring simple …

Contactless methods for measuring respiratory rate: A review

C Massaroni, A Nicolo, M Sacchetti… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Recent advances in understanding the importance of respiratory frequency (f R) as a
sensitive marker of a variety of physiopathological stressors are fostering growing interest in …

DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings

Y Cho, N Bianchi-Berthouze… - … conference on affective …, 2017 - ieeexplore.ieee.org
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 …

Remote photoplethysmography for heart rate measurement: A review

H **ao, T Liu, Y Sun, Y Li, S Zhao, A Avolio - Biomedical Signal Processing …, 2024 - Elsevier
Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …

Shared user interfaces of physiological data: Systematic review of social biofeedback systems and contexts in hci

C Moge, K Wang, Y Cho - Proceedings of the 2022 CHI Conference on …, 2022 - dl.acm.org
As an emerging interaction paradigm, physiological computing is increasingly being used to
both measure and feed back information about our internal psychophysiological states …

Multispectral video fusion for non-contact monitoring of respiratory rate and apnea

G Scebba, G Da Poian, W Karlen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Continuous monitoring of respiratory activity is desirable in many clinical applications to
detect respiratory events. Non-contact monitoring of respiration can be achieved with near …

Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review

C Filippini, D Perpetuini, D Cardone, AM Chiarelli… - Applied Sciences, 2020 - mdpi.com
Over recent years, robots are increasingly being employed in several aspects of modern
society. Among others, social robots have the potential to benefit education, healthcare, and …

Detection of respiratory infections using RGB-infrared sensors on portable device

Z Jiang, M Hu, Z Gao, L Fan, R Dai, Y Pan… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Coronavirus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome
coronaviruses 2 (SARS-CoV-2) has become a serious global pandemic in the past few …

Rethinking eye-blink: Assessing task difficulty through physiological representation of spontaneous blinking

Y Cho - Proceedings of the 2021 CHI conference on human …, 2021 - dl.acm.org
Continuous assessment of task difficulty and mental workload is essential in improving the
usability and accessibility of interactive systems. Eye tracking data has often been …

Driver's fatigue recognition based on yawn detection in thermal images

M Knapik, B Cyganek - Neurocomputing, 2019 - Elsevier
The paper presents a novel approach to driver's fatigue recognition based on yawn
detection using thermal imaging. This work writes into the active drivers' assisting systems …