Facial skin temperature decreases in infants with joyful expression

Nakanishi, Rie; Imai-Matsumura, Kyoko

doi:10.1016/j.infbeh.2007.09.001

Cited by 101 publications

(92 citation statements)

References 10 publications

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“…Research on comb temperature in domestic chickens exposed to aversive and positive stimuli suggest skin temperature may be similarly akin to general arousal 22,29 . However, in humans, different emotional states elicit regionally specific changes in skin temperature, for example periorbital warming and cheek cooling when startled 38 , but overall decreased skin temperature when laughing 39 . Comparisons between different regions may yet reveal emotional state.…”

Section: Discussionmentioning

confidence: 99%

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Jerem

Herborn

McCafferty

et al. 2015

JoVE

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Stress, a central concept in biology, describes a suite of emergency responses to challenges. Among other responses, stress leads to a change in blood flow that results in a net influx of blood to key organs and an increase in core temperature. This stress-induced hyperthermia is used to assess stress. However, measuring core temperature is invasive. As blood flow is redirected to the core, the periphery of the body can cool. This paper describes a protocol where peripheral body temperature is measured non-invasively in wild blue tits (Cyanistes caeruleus) using infrared thermography. In the field we created a set-up bringing the birds to an ideal position in front of the camera by using a baited box. The camera takes a short thermal video recording of the undisturbed bird before applying a mild stressor (closing the box and therefore capturing the bird), and the bird's response to being trapped is recorded. The bare skin of the eye-region is the warmest area in the image. This allows an automated extraction of the maximum eye-region temperature from each image frame, followed by further steps of manual data filtering removing the most common sources of errors (motion blur, blinking). This protocol provides a time series of eye-region temperature with a fine temporal resolution that allows us to study the dynamics of the stress response non-invasively. Further work needs to demonstrate the usefulness of the method to assess stress, for instance to investigate whether eye-region temperature response is proportional to the strength of the stressor. If this can be confirmed, it will provide a valuable alternative method of stress assessment in animals and will be useful to a wide range of researchers from ecologists, conservation biologists, physiologists to animal welfare researchers.

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Section: Discussionmentioning

confidence: 99%

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Jerem

Herborn

McCafferty

et al. 2015

JoVE

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“…정서와 일의 관련성에 관한 연구들이나, 정서와 운전행동에 관한 연구들 을 보면, 일반적으로 부정적인 정서는 안전하지 않은 행동을 하도록 만들며, 사고의 가능성을 증가시킨다고 보고하고 있 다 (Arnett, Offer, & Fine, 1997;Banuls, Carbonell Yaya, Casanoves, & Chisvert, 1996;Chen, Z., Ma, L., & Sen, Y., 2011;Deffenbacher, Lynch, Filetti, Dahlen, & Oetting, 2003 (Bartlett et al, 2006;Chang et al, 2006;Cohn, 2006). 과 혈압(blood pressure), 피부전기반응(electrodermal activity), 피부온도(skin temperature), 호흡률(respiratory rate)을 이용하여 정서상태를 추론한다 (Kim et al, 2004;Liu et al, 2008;Picard et al, 2001 (Liu & Wang, 2011;Merla & Romani, 2007;Rimm-Kaufman & Kagan, 1996;Yoshitomi, 2010 (Jarlier et al, 2011;Khan et al, 2006;Liu & Wang, 2011;Trujillo et al, 2005;Yoshitomi, 2010) (Merla & Romani, 2007;Nakanishi & Imai-Matsumura, 2008;Nhan & Chau, 2010;Kuraoka & Nakamura, 2011;Rimm-Kaufman & Kagan, 1996;Tsiamyrtzi et al, 2007). …”

Section: Introductionunclassified

Emotion Recognition using Facial Thermal Images

Eom¹,

Sohn²

2012

Journal of the Ergonomics Society of Korea

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Objective: The aim of this study is to investigate facial temperature changes induced by facial expression and emotional state in order to recognize a persons emotion using facial thermal images. Background: Facial thermal images have two advantages compared to visual images. Firstly, facial temperature measured by thermal camera does not depend on skin color, darkness, and lighting condition. Secondly, facial thermal images are changed not only by facial expression but also emotional state. To our knowledge, there is no study to concurrently investigate these two sources of facial temperature changes. Method: 231 students participated in the experiment. Four kinds of stimuli inducing anger, fear, boredom, and neutral were presented to participants and the facial temperatures were measured by an infrared camera. Each stimulus consisted of baseline and emotion period. Baseline period lasted during 1min and emotion period 1~3min. In the data analysis, the temperature differences between the baseline and emotion state were analyzed. Eyes, mouth, and glabella were selected for facial expression features, and forehead, nose, cheeks were selected for emotional state features. Results: The temperatures of eyes, mouth, glanella, forehead, and nose area were significantly decreased during the emotional experience and the changes were significantly different by the kind of emotion. The result of linear discriminant analysis for emotion recognition showed that the correct classification percentage in four emotions was 62.7% when using both facial expression features and emotional state features. The accuracy was slightly but significantly decreased at 56.7% when using only facial expression features, and the accuracy was 40.2% when using only emotional state features. Conclusion: Facial expression features are essential in emotion recognition, but emotion state features are also important to classify the emotion. Application: The results of this study can be applied to human-computer interaction system in the work places or the automobiles.

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“…Результаты исследований говорят о возможности использования тепловидения для распознавания состояния «испуг» [14], «страх» [15], эмоциональное возбуждение [16] и радость [17].…”

Section: достигнутые результаты в области распознавания состояниunclassified

Human Psychophysiological State Recognition Based on Analysis of Thermograms of Face and Neck Regions

Sulavko¹,

Zhumazhanova²

2017

DSMM

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143среды с рабочим органом уплотнителя, позволяет предсказать существенные для наиболее эффективного накопления пластической деформации параметры динамического поверхностного воздействия по заданным исходным физическим характеристикам слоя среды.Выявленные в результате численного эксперимента закономерности, представленные в виде таблиц и гра-фических зависимостей, могут быть использованы для разработки методик энергоэффективного использования уплотняющих дорожных машин и проектирования их рабочих органов. DOI: 10.25206/2310DOI: 10.25206/ -9793-2017 Аннотация -Предложена методика вычисления признаков на термограммах лица и шеи, характери-зующих субъектов и их следующие психофизиологические состояния: нормальное (спокойное), сонное и состояние алкогольного опьянения. Предложен метод субъект-зависимого распознавания данных состо-

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Facial skin temperature decreases in infants with joyful expression

Cited by 101 publications

References 10 publications

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Emotion Recognition using Facial Thermal Images

Human Psychophysiological State Recognition Based on Analysis of Thermograms of Face and Neck Regions

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