Machine learning-based detection of acute psychosocial stress from body posture and movements

R Richer, V Koch, L Abel, F Hauck, M Kurz… - Scientific Reports, 2024 - nature.com
Investigating acute stress responses is crucial to understanding the underlying mechanisms
of stress. Current stress assessment methods include self-reports that can be biased and …

A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring

D Krauss, L Engel, T Ott, J Bräunig… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Radio detection and ranging-based (radar) sensing offers unique opportunities for
biomedical monitoring and can help overcome the limitations of currently established …

Tracing Human Stress From Physiological Signals Using UWB Radar

J Xu, T Xiao, P Lv, Z Chen, C Cai… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Stress tracing is an important research domain that supports many applications, such as
health care and stress management; and its closest related works are derived from stress …

[PDF][PDF] CRNet: Robust Millimeter Wave Gait Recognition Method Based on Contrastive Learning

Z Meng, A Zhou, H Ma, Q Zhang - APSIPA Transactions on …, 2024 - nowpublishers.com
Gait recognition based on millimeter waves (mmWave) has a wide range of applications,
such as smart homes and health monitoring, and attracted extensive attention due to its non …

MSense: Boosting Wireless Sensing Capability Under Motion Interference

Z Chang, F Zhang, J Xiong, W Chen… - Proceedings of the 30th …, 2024 - dl.acm.org
Wireless signals have been widely utilized for human sensing. However, wireless sensing
systems face a fundamental limitation, ie, the wireless device must keep static during the …

mmTAA: A Contact-Less Thoracoabdominal Asynchrony Measurement System Based on Mmwave Sensing

F Zhang, Z Zhang, L Kang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Thoracoabdominal Asynchrony (TAA) is a key metric in respiration monitoring, which
characterizes the non-parallel periodical motion of human's rib cage (RC) and abdomen …

mmCare: A Nursing Care Activity Monitoring System via mmWave Sensing

P Pan, F Zhang, A Zhou, H Ma, H Jia - Proceedings of the ACM Turing …, 2024 - dl.acm.org
With the advent of an aging society, an increasing number of patients require appropriate
care. Simultaneously, there is currently a lack of effective solutions for monitoring nursing …

The effects of vulnerability-schema structure on suicidal ideation are enhanced by traumatic stress both directly and through depression

M Luo, Y Yu, M Zhao, Z Feng, J Zhang - 2024 - researchsquare.com
Objective This study aimed to discover the complicated effects of impulsivity and traumatic
stress on suicidal ideation mediated by negative cognitive processing bias and depression …

Machine Learning in RADAR-based Physiological Signals Sensing: A Scoping Review of the Models, Datasets and Metrics

A Nocera, L Senigagliesi, M Raimondi, G Ciattaglia… - Machine …, 2021 - techrxiv.org
In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …

UrFatigue: Ultra-wideband Radar based Contactless Fatigue Monitoring

L Meng, J Zhang, X Jiang, K Wang… - … Workshop on Radio …, 2024 - ieeexplore.ieee.org
The effective monitoring of fatigue holds significant importance in maintaining long-term
physiological and psychological well-being, attracting substantial attention in the field of …