Stress Presumption of the Long Driving Using the Facial Thermal Image

2010 ◽  
Vol 22 (6) ◽  
pp. 751-757 ◽  
Author(s):  
Hirotoshi Asano ◽  
◽  
Hitoshi Onogaki ◽  
Takumi Muto ◽  
Syuichi Yokoyama ◽  
...  

There is a close relationship between car accidents and the physiological and psychological states of drivers. Stress may lead to a feeling of fatigue or a decrease in attentiveness. Therefore, it is an important subject from viewpoints such as that of accident prevention to evaluate the mental state of drivers behind the wheel. This research aims at the development of technology that will take quantitative measurements of stress based on facial skin temperature. It is based on the relation between facial skin temperature and changes in mental state. Presumption of stress level of a driver was attempted from the change in temperature pattern of a series of readings.

2010 ◽  
Vol 22 (1) ◽  
pp. 43-49
Author(s):  
Hirotoshi Asano ◽  
◽  
Hideto Ide

Before a person has a car accident, he may have several “close calls.” These “close calls” may cause a person to experience tension and fear. People experience the “fight or flight reaction” (FFR) under such circumstances, as it is known that people exhibit the FFR when they feel anxiety, strain, or threat. If the manifestation of the FFR in a driver can be determined using a biological measurement, it would be an extremely effective indicator that might help in the prevention of car accidents. In this research, we conducted FFR-arousing experiments using a driving simulator, and the STSDA method was used to detect spatio-temporal changes in the skin temperature on facial skin thermograms accompanying the occurrence of the FFR.


Author(s):  
Ayaka Masaki ◽  
Kent Nagumo ◽  
Bikash Lamsal ◽  
Kosuke Oiwa ◽  
Akio Nozawa

Abstract Facial skin temperature is a physiological index that varies with skin blood flow controlled by autonomic nervous system activity. The facial skin temperature can be remotely measured using infrared thermography, and it has recently attracted attention as a remote biomarker. For example, studies have been reported to estimate human emotions, drowsiness, and mental stress on facial skin temperature. However, it is impossible to make a machine that can discriminate all infinite physiological and psychological states. Considering the practicality of skin temperature, a machine that can determine the normal state of facial skin temperature may be sufficient. In this study, we propose a completely new approach to incorporate the concept of anomaly detection into the analysis of physiological and psychological states by facial skin temperature. In this paper, the method for separating normal and anomaly facial thermal images using an anomaly detection model was investigated to evaluate the applicability of variational autoencoder (VAE) to facial thermal images.


2015 ◽  
Vol 772 ◽  
pp. 608-612 ◽  
Author(s):  
Ioana Maria Cojocaru ◽  
Marius Cristian Cojocaru ◽  
Ileana Ciobanu ◽  
Mihai Berteanu ◽  
Calin Giurcaneanu

Facial paralysis is a common affliction for the Rehabilitation Medicine practitioner. This type of paralysis is a very disabling condition. The lost sensation and muscle control in the territory of the facial nerve can cause difficulty in speech, swallowing, closing the eye (it can cause blindness if not tended carefully), it ca also cause vertigo (sometimes it’s so severe that the patient is unable to stand or walk) or the loss of taste in the anterior two thirds of the tongue. In healthy individuals the skin temperature distribution is symmetric. Lesions of the facial nerve are associated with an alteration of the normal skin temperature pattern. Infrared thermography is a valuable auxiliary tool for differential diagnosis, as it objectivizes the infrared thermal distribution on the facial skin.


Author(s):  
Kent Nagumo ◽  
Kosuke Oiwa ◽  
Akio Nozawa

AbstractHuman–computer interaction (HCI) is an interaction for mutual communication between humans and computers. HCI needs to recognize the human state quantitatively and in real-time. Although it is possible to quantitatively evaluate the human condition by measuring biological signals, the challenge is that it often requires physical constraints. There is an increasing interest in a non-contact method of estimating physiological and psychological states by measuring facial skin temperature using infrared thermography. However, due to individual differences in face shape, the accuracy of physiological and psychological state estimation using facial thermal images was sometimes low. To solve this problem, we hypothesized that spatial normalization of facial thermal image (SN-FTI) could reduce the effect of individual differences in facial shape. The objective of this study is to develop a method for SN-FTI and to evaluate the effect of SN-FTI on the estimation of physiological and psychological states. First, we attempted spatial normalization using facial features. The results suggested that SN-FTI would result in the same face shape among individuals. Since there are individual differences in facial skin temperature distribution, the inter-individual correlation coefficient is suggested to be lower than the intra-individual correlation coefficient. Next, we modeled the estimated drowsiness level using SN-FTIs and compared it with Normal. The results showed that SN-FTI slightly improved the discrimination rate of drowsiness level. SN-FTIs were suggested to reduce the effect of individual differences in facial structure on the estimation of physiological and psychological states.


2016 ◽  
Vol 136 (11) ◽  
pp. 1581-1585 ◽  
Author(s):  
Tota Mizuno ◽  
Takeru Sakai ◽  
Shunsuke Kawazura ◽  
Hirotoshi Asano ◽  
Kota Akehi ◽  
...  

2008 ◽  
Vol 31 (1) ◽  
pp. 137-144 ◽  
Author(s):  
Rie Nakanishi ◽  
Kyoko Imai-Matsumura
Keyword(s):  

1965 ◽  
Vol 209 (1) ◽  
pp. 231-235 ◽  
Author(s):  
Ira M. Dushoff ◽  
John Payne ◽  
Falls B. Hershey ◽  
Robert C. Donaldson

Quantitative measurements of oxygen consumption and triphenyl tetrazolium chloride reduction by intact skin were made during various stages of the skin cycle of the mouse. Values are highest during early anagen, when growth is most rapid: Qo2 is 2.47 ± 0.10 (mean ± se) and TTC is 537 ± 24.6. In late anagen the activities decrease 40–50%: Qo2 is 1.24 ± 0.10 and TTC is 315 ± 20.8. There is a close relationship between tetrazolium reduction and oxygen consumption during all phases of the growth cycle of mouse skin. The coefficient of regression of TTC on Qo2 is 163.2 ( P < .001).


Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 627 ◽  
Author(s):  
Scott Hastings ◽  
Se Woong Kim ◽  
Robert D. Brown

The frequency and duration of heatwaves are steadily increasing as climate change becomes more serious. These changes particularly endanger the health of those who must work outdoors in hot environments. This study introduces a novel approach to monitor the heat-health of airport outdoor workers using infrared thermography. The faces of airport workers who were refueling airplanes in extreme heat conditions were monitored using a thermal infrared thermometer during their work cycle throughout the day. Changes in temperature on their exposed faces (e.g., the ear, cheek, chin) were monitored throughout the day over a two-month period. In every test, the subject’s face temperature increased, then suddenly dropped for a short time, and then continued increasing. Subjects were also asked to assess their thermal perception of the work each time they were tested throughout the study. They reported that they felt discomfort in terms of thermal comfort when the facial skin temperature went down temporarily before the temperature rose. These results show that the physical measurement criteria when outdoor workers’ thermal health is in jeopardy can be based on the results of facial skin temperature measurements.


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