Facial recognition and emotion detection in deep learning
A Facial expression is the visible manifestation of the affective state, cognitive activity, intention, personality and psychopathology of a person and plays a communicative role in interpersonal relations. It have been studied for a long period of time and obtaining the progress recent
Project Title
Facial recognition and emotion detection in deep learning
Project Area of Specialization
Project Summary
A Facial expression is the visible manifestation of the affective state, cognitive activity,
intention, personality and psychopathology of a person and plays a communicative role in
interpersonal relations. It have been studied for a long period of time and obtaining the
progress recent decades. Though much progress has been made, recognizing facial
expression with a high accuracy remains to be difficult due to the complexity and
varieties of facial expressions
Project Objectives
1. To develop a facial expression recognition system.
2. To experiment machine learning algorithm in computer vision fields.
3. To detect emotion thus facilitating Intelligent Human-Computer Interaction.
Project Implementation Method
Step 1: Face Detection. To begin, the camera will detect and recognize a face, either alone or in a crowd. ...
Step 2: Face Analysis. Next, a photo of the face is captured and analyzed. ...
Step 3: Converting An Image to Data. ...
Step 4: Finding a Match.
Benefits of the Project
Facial expressions of emotion are probably the most important signal of the face because they tell us about people's personalities, emotions, motivations, or intent. They are not only signs of people's internal states; they are also signals to others to act in certain ways, providing messages for social coordination.
Technical Details of Final Deliverable
Nothing
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Facial emotion | Equipment | 0 | 20000 | 0 |
| Total in (Rs) | 0 |
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