Stress Recognition Based on Multiphysiological Data in High-Pressure Driving VR Scene

Vaitheeshwari, R.; Yeh, Shih-Ching; Wu, Eric Hsiao-Kuang; Chen, Jyun-Yu; Chung, Chia-Ru

doi:10.1109/jsen.2022.3205385

Cited by 8 publications

(1 citation statement)

References 38 publications

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“…Human stress recognition is being applied in a range of situations, which as stress brought on by financial strain, psychological strain, trauma, and medical problem. To replicate the actual conflict situation, ref [49] developed a virtual reality (VR) technology-based digital battlefield driving scenario and replicated stray gunshot impulses within the same. To study the pressure situation brought on by the bullet sensations, the VR scene is then integrated with real-time physiological sensors, such as electrocardiography (ECG), a skin conductance (GSR) sensor, and an eye-tracking device.…”

Section: Stress and Anxietymentioning

confidence: 99%

Early Life Stress Detection Using Physiological Signals and Machine Learning Pipelines

Shahbazi

Byun

2023

Biology

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Pregnancy and early childhood are two vulnerable times when immunological plasticity is at its peak and exposure to stress may substantially raise health risks. However, to separate the effects of adversity during vulnerable times of the lifetime from those across the entire lifespan, we require deeper phenotyping. Stress is one of the challenges which everyone can face with this issue. It is a type of feeling which contains mental pressure and comes from daily life matters. There are many research and investments regarding this problem to overcome or control this complication. Pregnancy is a susceptible period for the child and the mother taking stress can affect the child’s health after birth. The following matter can happen based on natural disasters, war, death or separation of parents, etc. Early Life Stress (ELS) has a connection with psychological development and metabolic and cardiovascular diseases. In the following research, the main focus is on Early Life Stress control during pregnancy of a healthy group of women that are at risk of future disease during their pregnancy. This study looked at the relationship between retrospective recollections of childhood or pregnancy hardship and inflammatory imbalance in a group of 53 low-income, ethnically diverse women who were seeking family-based trauma treatment after experiencing interpersonal violence. Machine learning Convolutional Neural Networks (CNNs) are applied for stress detection using short-term physiological signals in terms of non-linear and for a short term. The focus concepts are heart rate, and hand and foot galvanic skin response.

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Section: Stress and Anxietymentioning

confidence: 99%