GDL

Journal from gdlhub / 2022-02-15 14:56:14
Oleh : Rawinan Praditsangthong, Bhattarasiri Slakkham, Pattarasinee Bhattarakoso, King Saud University
Dibuat : 2022-02-15, dengan 0 file

Keyword : Interpalpebral fissure, Palpebral fissure region, Eye, Emotion,Decision tree, Classification
Url : http://www.sciencedirect.com/science/article/pii/S1319157818313454
Sumber pengambilan dokumen : web

Human emotions, such as smiling or laughing, can be expressed in various forms through the face whenever there are stimuli. These changing faces can reflect the emotional states that are used to identify a normal or an abnormal behaviour. This research aims to study the patterns in human faces and identify the areas of interest (AOI), which is called Facial Landmark Detection (FLD). The investigation of the external elements of eyes is performed, and it consists of the interpalpebral fissure (IPF), the palpebral fissure length (PFL), and the palpebral fissure region (PFR). These elements are applied to classify the emotional differences between neutral and fearful emotions. A method for emotional classification was designed according to the changing values of the IPF, PFL, and PFR. An ID3 algorithm was used to classify the emotions. Three hundred sixty images were derived from horror-thriller-murder movies based on IMDb. This data set was utilized to generate the proposed pattern. This pattern was used to classify the emotions using a decision tree technique that led to the development of an emotional classification model. The accuracy of the emotional classification model between neutral and fearful emotions was 92.50%, thus proving that the proposed model is efficient.

Deskripsi Alternatif :

Human emotions, such as smiling or laughing, can be expressed in various forms through the face whenever there are stimuli. These changing faces can reflect the emotional states that are used to identify a normal or an abnormal behaviour. This research aims to study the patterns in human faces and identify the areas of interest (AOI), which is called Facial Landmark Detection (FLD). The investigation of the external elements of eyes is performed, and it consists of the interpalpebral fissure (IPF), the palpebral fissure length (PFL), and the palpebral fissure region (PFR). These elements are applied to classify the emotional differences between neutral and fearful emotions. A method for emotional classification was designed according to the changing values of the IPF, PFL, and PFR. An ID3 algorithm was used to classify the emotions. Three hundred sixty images were derived from horror-thriller-murder movies based on IMDb. This data set was utilized to generate the proposed pattern. This pattern was used to classify the emotions using a decision tree technique that led to the development of an emotional classification model. The accuracy of the emotional classification model between neutral and fearful emotions was 92.50%, thus proving that the proposed model is efficient.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	King Saud University
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com