Emotion detection system, Slides of Machine Learning

Detection of emotion using facial features

Typology: Slides

2020/2021

Uploaded on 05/16/2021

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EMOBOT
GROUP MEMBERS ROLL NO:
KHAN HIRA 6117015
KHAN JUVERIAH 6117017
KHOT SHAZA 6117026
UNDER THE GUIDANCE OF
PROF. SHRINIDHI GINDI
Department of Information Techonlogy
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EMOBOT

GROUP MEMBERS ROLL NO: KHAN HIRA 6117015 KHAN JUVERIAH 6117017 KHOT SHAZA 6117026 UNDER THE GUIDANCE OF PROF. SHRINIDHI GINDI Department of Information Techonlogy

OUTLINE  (^) Introduction  (^) Aim  (^) Objective  (^) Motivation  (^) Problem definition  (^) Literature survey  (^) Tools and Technologies  (^) Diagrams  (^) Proposed system  (^) Result and discussion  (^) Conclusion  (^) Future scope  (^) Paper published certificate  (^) References

INTRODUCTION

 Research has shown that almost

90% of our communication can be

non-verbal.

 Hence, recognizing emotions

becomes a vital task

 Human emotions and gender from

facial features

 Emotion detection system-

6 primary emotions

 Gender Detection system-Male or

Female

AIM  The aim of the project is to evaluate the potential for emotion recognition technology to improve the quality of human-computer interaction.  To build an emotion and gender recognition system in which when system detects user’s face it will be able to effectively classify user’s characteristics.

MOTIVATION Alexithymia(a rare disease) Video game testing

Recommendation system

Long Surveys Mona lisa

Problem Definition  To build an emotion recognition system in which when system detects user’s face it will be able to effectively classify user’s characteristics