Detecting Happiness Using Hyperspectral Imaging Technology
المؤلفون المشاركون
Liu, Guangyuan
Hao, Min
Gokhale, Anu
Xu, Ya
Chen, Rui
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-01-15
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Hyperspectral imaging (HSI) technology can be used to detect human emotions based on the power of material discrimination from their faces.
In this paper, HSI is used to remotely sense and distinguish blood chromophores in facial tissues and acquire an evaluation indicator (tissue oxygen saturation, StO2) using an optical absorption model.
This study explored facial analysis while people were showing spontaneous expressions of happiness during social interaction.
Happiness, as a psychological emotion, has been shown to be strongly linked to other activities such as physiological reaction and facial expression.
Moreover, facial expression as a communicative motor behavior likely arises from musculoskeletal anatomy, neuromuscular activity, and individual personality.
This paper quantified the neuromotor movements of tissues surrounding some regions of interest (ROIs) on smiling happily.
Next, we selected six regions—the forehead, eye, nose, cheek, mouth, and chin—according to a facial action coding system (FACS).
Nineteen segments were subsequently partitioned from the above ROIs.
The affective data (StO2) of 23 young adults were acquired by HSI while the participants expressed emotions (calm or happy), and these were used to compare the significant differences in the variations of StO2 between the different ROIs through repeated measures analysis of variance.
Results demonstrate that happiness causes different distributions in the variations of StO2 for the above ROIs; these are explained in depth in the article.
This study establishes that facial tissue oxygen saturation is a valid and reliable physiological indicator of happiness and merits further research.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hao, Min& Liu, Guangyuan& Gokhale, Anu& Xu, Ya& Chen, Rui. 2019. Detecting Happiness Using Hyperspectral Imaging Technology. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1129364
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hao, Min…[et al.]. Detecting Happiness Using Hyperspectral Imaging Technology. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1129364
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hao, Min& Liu, Guangyuan& Gokhale, Anu& Xu, Ya& Chen, Rui. Detecting Happiness Using Hyperspectral Imaging Technology. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1129364
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129364
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر