Evaluation of Variations in Autonomic Nervous System's Activity During the Day Based on Facial Thermal Images Using Independent Component Analysis

Ito, Hajime; Bando, Shizuka; Oiwa, Kosuke; Nozawa, Akio

doi:10.1541/ieejeiss.138.812

Cited by 3 publications

(3 citation statements)

References 33 publications

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“…In the previous study, FST at rest measured temporarily was determined to be normal. However, it has been shown that FST fluctuates throughout the day according to circadian rhythms [6]. In other words, even if the body is normal, the FST is not constant, so the data from the temporary resting-state alone cannot reproduce the normal state of the FST.…”

Section: Introductionmentioning

confidence: 99%

An attempt to construct the individual model of daily facial skin temperature using variational autoencoder

Masaki

Nagumo

Iwashita

et al. 2021

Artif Life Robotics

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Facial skin temperature (FST) has also gained prominence as an indicator for detecting anomalies such as fever due to the COVID-19. When FST is used for engineering applications, it is enough to be able to recognize normal. We are also focusing on research to detect some anomaly in FST. In a previous study, it was confirmed that abnormal and normal conditions could be separated based on FST by using a variational autoencoder (VAE), a deep generative model. However, the simulations so far have been a far cry from reality. In this study, normal FST with a diurnal variation component was defined as a normal state, and a model of normal FST in daily life was individually reconstructed using VAE. Using the constructed model, the anomaly detection performance was evaluated by applying the Hotelling theory. As a result, the area under the curve (AUC) value in ROC analysis was confirmed to be 0.89 to 1.00 in two subjects.

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Section: Introductionmentioning

confidence: 99%

An attempt to construct the individual model of daily facial skin temperature using variational autoencoder

Masaki

Nagumo

Iwashita

et al. 2021

Artif Life Robotics

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“…Studies dealing with facial skin temperature have included the estimation of mental stress based on the time-series variation of nasal skin temperature [9], [10]. In addition, there exists a causal relationship between skin temperature in the forehead, cheeks, and lips as well as the nasal region and physiological and psychological states, which has been established in our previous study [11]. Studies dealing with facial color have included the assessment of emotion [12]- [14], melanin or hemoglobin distribution [15]- [17], skin pigmentation [18], and the relationship between facial expression and facial color [19].…”

Section: Introductionmentioning

confidence: 88%

Relationship Between Long-Term Variability of Facial Hue Information in Physiological and Psychological ROIs and Health Condition

Oiwa¹,

Urakami

Lamsal

et al. 2021

IEEE Access

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In this study, we evaluate the relationship between long-term variability of facial hue information in physiological and psychological regions of interests (ROIs) and health condition. Long-term facial hue information, RGB, and L*a*b* color space, were obtained from 13 physiological and psychological ROIs in visible facial images measured for approximately six months. In this study, the evaluation was performed based on four conditions (absolute value of RGB, absolute value of L*a*b*, relative value of RGB, and relative value of L*a*b*). These four long-term variabilities of facial hue information were applied to principal component analysis to clarify the relationship between facial hue information and health condition. The results suggested that long-term variability of chromaticity information around the periorbital region may be related to health conditions. Furthermore, physiological and psychological states related to health condition were estimated with the accuracy of approximately 80% using relative chromaticity information around the periorbital region.

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“…Applying ICA to FTIs can extract independent components related to specific psychophysiological responses [12]. Ito et al separated the components included in FTIs using ICA and extracted the core temperature or heart rate variable components related to circadian rhythms and acute stress [13]. It is expected that the short-term blood pressure variation components related to acute stress response can be separated and extracted from FTIs using the same method.…”

Section: Introductionmentioning

confidence: 99%

Estimation of resting blood pressure using facial thermal images by separating acute stress variations

Iwashita

Nagumo

Oiwa

et al. 2021

Artif Life Robotics

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The increasing number of people with hypertension worldwide has become a matter of grave concern. Blood pressure monitoring using a non-contact measurement technique is expected to detect and control this medical condition. Previous studies have estimated blood pressure variations following an acute stress response based on facial thermal images obtained from infrared thermography devices. However, a non-contact resting blood pressure estimation method is required because blood pressure is generally measured in the resting state without inducing acute stress. Day-long blood pressure variations include short-term variations due to acute stress and long-term variations in circadian rhythms. The aim of this study is to estimate resting blood pressure from facial thermal images by separating and excluding short-term variations related to acute stress. To achieve this, short-term blood pressure variations components related to acute stress on facial thermal images were separated using independent component analysis. Resting blood pressure was estimated with the extracted independent components excluding the short-term components using multiple regression analysis. The results show that the proposed approach can accurately estimate resting blood pressure from facial thermal images, with a 9.90 mmHg root mean square error. In addition, features related to resting blood pressure were represented in the nose, lip, and cheek regions.

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Evaluation of Variations in Autonomic Nervous System's Activity During the Day Based on Facial Thermal Images Using Independent Component Analysis

Cited by 3 publications

References 33 publications

An attempt to construct the individual model of daily facial skin temperature using variational autoencoder

An attempt to construct the individual model of daily facial skin temperature using variational autoencoder

Relationship Between Long-Term Variability of Facial Hue Information in Physiological and Psychological ROIs and Health Condition

Estimation of resting blood pressure using facial thermal images by separating acute stress variations

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