![References
•[1] L. Franco, Alessandro Treves ―A Neural Network Facial Expression Recognition
System using Unsupervised‖ Local Processing, Cognitive Neuroscience Sector – SISSA.
•[2] C. L. Lisetti, D. E. Rumelhart ―Facial Expression Recognition Using a Neural
Network‖ In Proceedings of the 11 th International FLAIRS Conference, pp. 328—332,
2004.
•[3] C. Busso, Z. Deng , S. Yildirim , M. Bulut , C.M. Lee, A. Kazemzadeh , S.B. Lee, U.
Neumann , S. Narayanan Analysis of Emotion Recognition using Facial Expression ,
Speech and Multimodal Information, ICMI‘04, PY, USA, 2004
•[4] Claude C. Chibelushi, Fabrice Bourel ―Facial Expression Recognition: A Brief
Tutorial Overview‖.
•[5] C. D. Katsis, N. Katertsidis, G. Ganiatsas, and D. I. Fotiadis, Toward Emotion
Recognition in CarRacing Drivers:A Biosignal Processing Approach, IEEE Transactions
On Systems, Man, And Cybernetics—Part A: Systems And Humans, Vol. 38, No. 3,
2008. [6] ANDREASSI, J. L. (2000): ―Psychophysiology: human behavior and
physiological response‖ (Lawrence Erlbaum Associates, New Jersey, 2000)](https://image.slidesharecdn.com/emotionrecognition-191201043725/85/Emotion-recognition-15-320.jpg)
Emotion recognition
- 1. Emotion Recognition Under the Guidance of: Mrs. Sumedha Dasgupta & Mr. Samiran Basak Submitted By: Satyaki sarkar(19) Shashawta Chanda(17) Sayak Bhattacharya(18) Saheli Nandi(22) Dishari Debnath (35)
- 2. CONTENTS •Requirement of Emotion Recognition •Objectives •Challenges •Enhancement that can be done •Method •Feature points •Facial Expression •Steps in Process •Classifier Performance •Packages used • Working •Modules •References
- 3. Requirement of Emotion Recognition
- 4. Objectives To predict a person’s emotion based on his face images, video frames like: • Analyzing the image and predict the expression of the person. • To predict the current emotional state of prisoners and criminals. • To predict expression of children who are affected by autism.
- 5. Challenges • Low-intensity & less expressions. • Data collection is expensive and time-consuming. • Recognizing precise expression from a variety of expression forms of different people.
- 6. Enhancement that can be done User’s emotion using its facial expressions will be detected. These expressions can be derived from the live feed via system's camera or using web cameras.
- 7. Methods We can use face detection approach for Emotion recognition purposes.
- 9. Facial Expression Prototypical facial expressions are anger, disgust, fear, happiness, sadness, neutral and surprise. Contempt was subsequently added as one of the basic emotions. .
- 10. Steps in Process
- 12. Packages Used We can use Java,C,Matlab,Python etc.But we use Python because Hardware requirement is low and has many inbuilt library functions. Functions like: Numpy,Scipy,Mathplotlib,Opencv etc.
- 14. Modules • Module 1:- Data analysis • Module 2:- Training the dataset • Module 3:-Data identification Related Works • Face detection • Missing Person identification • Object detection • Vehicle detection • Pedestrian identification
- 15. References •[1] L. Franco, Alessandro Treves ―A Neural Network Facial Expression Recognition System using Unsupervised‖ Local Processing, Cognitive Neuroscience Sector – SISSA. •[2] C. L. Lisetti, D. E. Rumelhart ―Facial Expression Recognition Using a Neural Network‖ In Proceedings of the 11 th International FLAIRS Conference, pp. 328—332, 2004. •[3] C. Busso, Z. Deng , S. Yildirim , M. Bulut , C.M. Lee, A. Kazemzadeh , S.B. Lee, U. Neumann , S. Narayanan Analysis of Emotion Recognition using Facial Expression , Speech and Multimodal Information, ICMI‘04, PY, USA, 2004 •[4] Claude C. Chibelushi, Fabrice Bourel ―Facial Expression Recognition: A Brief Tutorial Overview‖. •[5] C. D. Katsis, N. Katertsidis, G. Ganiatsas, and D. I. Fotiadis, Toward Emotion Recognition in CarRacing Drivers:A Biosignal Processing Approach, IEEE Transactions On Systems, Man, And Cybernetics—Part A: Systems And Humans, Vol. 38, No. 3, 2008. [6] ANDREASSI, J. L. (2000): ―Psychophysiology: human behavior and physiological response‖ (Lawrence Erlbaum Associates, New Jersey, 2000)
- 16. THANK YOU