講演抄録/キーワード |
講演名 |
2018-12-25 14:00
Emotions detection scheme using facial skin temperature and heart rate ○Kahil Mustafa Jamal S・Eiji Kamioka(SIT) MoNA2018-47 |
抄録 |
(和) |
The main aim of this study is to detect emotions based on facial skin temperature and Heart Rate (HR) Using thermals camera, HR monitor and machine learning techniques. The emotions targeted in this paper are Relax, Fear, Sadness, and Joy. An experiment was conducted with 20 healthy subjects (10 females and 10 males, 20 to 31 years old). Both visual and auditory media were used to induce these emotions in the experiment.
Five points on the face were focused on, which are: nose, glabellar line (between the eyes and eyebrows), right/left cheeks, and the chin as well as the HR of the subjects. To determine the emotion, Artificial Neural Network (ANN) was used as a classifier and it achieved the accuracy of 85% with Multilayer Perceptron (MLP) as a classifier. This mechanism proves that facial skin temperature and HR can be a good indicator of the changes in humans? emotions state. |
(英) |
The main aim of this study is to detect emotions based on facial skin temperature and Heart Rate (HR) Using thermals camera, HR monitor and machine learning techniques. The emotions targeted in this paper are Relax, Fear, Sadness, and Joy. An experiment was conducted with 20 healthy subjects (10 females and 10 males, 20 to 31 years old). Both visual and auditory media were used to induce these emotions in the experiment.
Five points on the face were focused on, which are: nose, glabellar line (between the eyes and eyebrows), right/left cheeks, and the chin as well as the HR of the subjects. To determine the emotion, Artificial Neural Network (ANN) was used as a classifier and it achieved the accuracy of 85% with Multilayer Perceptron (MLP) as a classifier. This mechanism proves that facial skin temperature and HR can be a good indicator of the changes in humans? emotions state. |
キーワード |
(和) |
Emotions detection / Facial skin temperature / Artificial neural network(ANN) / Thermals camera / Machine learning / Heart rate (HR) / / |
(英) |
Emotions detection / Facial skin temperature / Artificial neural network(ANN) / Thermals camera / Machine learning / Heart rate (HR) / / |
文献情報 |
信学技報, vol. 118, no. 378, MoNA2018-47, pp. 49-54, 2018年12月. |
資料番号 |
MoNA2018-47 |
発行日 |
2018-12-18 (MoNA) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
MoNA2018-47 |
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