Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles
المؤلفون المشاركون
Kim, Tae-Yeun
Ko, Hoon
Kim, Sung-Hwan
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-16
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
All persons in self-driving vehicle would like to receive each service.
To do it, the system has to know the person’s state from emotion or stress, and to know the person’s state, it has to catch by analyzing the person’s bio-information.
In this paper, we propose a system for inferring emotion using EEG, pulse, blood pressure (systolic and diastolic blood pressure) of user, and recommending color and music according to emotional state of user for a user service in self-driving vehicle.
The proposed system is designed to classify the four emotional information (stability, relaxation, tension, and excitement) by using EEG data to infer and classify emotional state according to user’s stress.
SVM algorithm was used to classify bio information according to stress index using brain wave data of the fuzzy control system, pulse, and blood pressure data.
When 80% of data were learned according to the ratio of training data by using the SVM algorithm to classify the EEG, blood pressure, and pulse rate databased on the biometric emotion information, the highest performance of 86.1% was shown.
The bio-information classification system based on the stress index proposed in this paper will help to study the interaction between human and computer (HCI) in the 4th Industrial Revolution by classifying emotional color and emotional sound according to the emotion of the user it is expected.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kim, Tae-Yeun& Ko, Hoon& Kim, Sung-Hwan. 2020. Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1176093
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kim, Tae-Yeun…[et al.]. Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1176093
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kim, Tae-Yeun& Ko, Hoon& Kim, Sung-Hwan. Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1176093
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1176093
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