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Title: :  EMOTION DETECTION SYSTEM USING MACHINE LEARNING
PaperId: :  16135
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 2 2022
DUI:    16.0415/IJARIIE-16135
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof.Sarika PawarSharadchandra Pawar Collage of Engineering Of Engineering and Technology,Someshwar
Mangesh ShelkeSharadchandra Pawar Collage of Engineering Of Engineering and Technology,Someshwar
Harshada PisalSharadchandra Pawar Collage of Engineering Of Engineering and Technology,Someshwar
Nitin NimbalkarSharadchandra Pawar Collage of Engineering Of Engineering and Technology,Someshwar

Abstract

COMPUTER ENGINEERING
Haar Cascade,Machine Learning,KNN,Emotion Detection,Face Detection
Abstract— This paper describes an emotion detection system based on real-time detection using image processing with human-friendly machine interaction. Facial detection has been around for decades. Taking a step ahead, human expressions displayed by face and felt by the brain, captured via video, electric signal, or image form can be approximated. To recognize emotions via images or videos is a difficult task for the human eye and challenging for machines thus detection of emotion by a machine requires many image processing techniques for feature extraction. This paper proposes a system that has two main processes such as face detection and facial expression recognition (FER). This research focuses on an experimental study on identifying facial emotions. The flow for an emotion detection system includes the image acquisition, preprocessing of an image, face detection, feature extraction, and classification. To identify such emotions, the emotion detection system uses KNN Classifier for image classification, and Haar cascade algorithm an Object Detection Algorithm to identify faces in an image or a real-time video. This system works by taking live images from the webcam. The objective of this research is to produce an automatic facial emotion detection system to identify different emotions based on these experiments the system could identify several people that are sad, surprised, and happy, in fear, are angry, etc.

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IJARIIE Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar. "EMOTION DETECTION SYSTEM USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 2 2022 Page 266-269
MLA Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar. "EMOTION DETECTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 8.2(2022) : 266-269.
APA Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, & Nitin Nimbalkar. (2022). EMOTION DETECTION SYSTEM USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 8(2), 266-269.
Chicago Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar. "EMOTION DETECTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 2 (2022) : 266-269.
Oxford Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar. 'EMOTION DETECTION SYSTEM USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, 2022, p. 266-269. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/EMOTION_DETECTION_USNING_MACHINE_LEARINING_ijariie16135.pdf (Accessed : ).
Harvard Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar. (2022) 'EMOTION DETECTION SYSTEM USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 8(2), pp. 266-269IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/EMOTION_DETECTION_USNING_MACHINE_LEARINING_ijariie16135.pdf (Accessed : )
IEEE Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar, "EMOTION DETECTION SYSTEM USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, pp. 266-269, Mar-App 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/EMOTION_DETECTION_USNING_MACHINE_LEARINING_ijariie16135.pdf [Accessed : ].
Turabian Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar. "EMOTION DETECTION SYSTEM USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 2 ().
Vancouver Prof.Sarika Pawar, Mangesh Shelke, Harshada Pisal, and Nitin Nimbalkar. EMOTION DETECTION SYSTEM USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(2) : 266-269. Available from: https://ijariie.com/AdminUploadPdf/EMOTION_DETECTION_USNING_MACHINE_LEARINING_ijariie16135.pdf
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