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# System prepended metadata

title: Btech Project Report 1

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title: Btech Project Report 1
tags:
description: Facial-Expression-Recognition
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# Btech Project Report 1
## Facial Expression/Emotion Recognition 
#### Also combine spoken content and facial expression detected to generate corresponding sentences with appropriate emoticons

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### Problem statement
To design a algorithm which can detect the **basic 7 emotions**:-
1. Happiness
2. Surprise
3. Anger
4. Sadness
5. Fear
6. Disgust
7. Neutral

![](https://i.imgur.com/KC8nj3c.png)
*Figure from paper Facial Expression Recognition Based on Facial Components Detection and HOG Features*

After that we are also planning to combine **facial expression** detection and **speech recognition** to **generate a completed sentence with appropriate emoticons**

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### Major Task that we will learn through this project will be:

* Face Detection
* Emotion Recognition on detected Face
* Make a realtime user interface using Open CV
* Speech Proccessing

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### Timeline:
![](https://i.imgur.com/W2ifbAf.png)


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### Open challenges on Internet regarding Emotion/Expression Detection

* kaggle challenge
https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
* codalab challenge (old last year challenge but dataset can be used)
https://competitions.codalab.org/competitions/15971#learn_the_details 
https://github.com/knowledgetechnologyuhh/OMGEmotionChallenge (github repo for same)
* FER (facial emotion recognition) challenge repositiory list
https://github.com/topics/facial-emotion-recognition 

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### Further work Details
#### Task2 -  Literature work
1. Do the literature survey and find State of the art network of emotion recognition.
2. List all the open source Code available.
3. Literature Survey for speech proccesing also.

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