Facial Emotion Recognition
Authors/Creators
- 1. UG Student, Department of Computer Science and Engineering, Jyothy Institute of Technology (JIT), Bangalore, Karnataka, India
- 2. UG Student, Department of Computer Science and Engineering, JSSATE, Bangalore, Karnataka, India
- 3. UG Student, Department of Computer Science and Engineering, NMAM Institute of Technology, Nitte, Karnataka, India
- 4. Professor & Former Head, Department of Computer Science and Engineering, JSSATE, Bangalore, Karnataka, India
Description
Emotion is a complex conscious that humans experience as a result of interactions with the environment. The project basically takes in the image, recognises the emotion by fragmenting the image with the deep learning technique using CNN. The tools and framework used here are keras and TensorFlow respectively. Here the facial feeling analysis refers to computing system that makes an attempt to mechanically analyse and recognise facial feeling and facial feature changes from visual data. The image being pre-processed helps for aiming a better quality of image and hence the emotion can be detected in a better way. This project can be used in many fields and one such field is mental health care centre. Patients with bipolar disorders should be treated by adhering the emotional behavior of patient and our project helps in doing the same. e
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(21-27)Facial Emotion.pdf
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Additional details
References
- Anagha S. Dhavalikar; R. K. Kulkarni "Face detection and facial expression recognition system" 2014. Published in: 2014 International Conferences on Electronics and Communication Systems (ICECS).
- MostafaMohammadpour; HosseinKhalilliardali; Seyyed Mohammad R Hashemi; Mohammed. M AlyanNezhadi "Facial emotion recognition using deep convolutional networks" 2017. Published in: 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI).
- Dinh Viet Sang; Le Tran BaoCuon; Do PhanThuan "Facial smile detection using convolutional neural networks" 2017. Published in: 2017 9th International Conference on Knowledge and Systems Engineering (KSE).
- Ravi Kant Kumar; G. A Rajesh Kumar; JogendraGarain; DakshinaRanjanKisku; GoutamSanyal "Determine attention of faces through growing level of emotion using deep convolutional Neural network" 2017. Published in: 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).
- Arden Dertat "Towards data science" 2017
- Octavio Arriaga, Paul Ploger, Matias Valdenegro "Real time convolution for emotions 2017
Subjects
- Computer Science Engineering
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