Face Emotion Detection

dc.contributor.author	Akash, Monirul Islam
dc.date.accessioned	2023-05-03T04:39:53Z
dc.date.available	2023-05-03T04:39:53Z
dc.date.issued	23-02-18
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10247
dc.description.abstract	Today, "Face Emotion Detection" is very popular and important task nowadays. Many companies can use this system to understand consumer’s emotion after launching a product. It is also used to detect if the employees are happy or sad with the facilities they are given from the company. This field has immense possibilities and can open new ways to human machine cooperation. As an outcome the interest of perceiving the human expression accurately is expanding day by day. There are various types of methods that can recognize the facial expression. In our thesis project I have built the system of recognizing facial expression using HTML5, CSS3, Bootstrap, and JavaScript programming Languages. I have used a JavaScript API that is face-API js and got 97.81% accuracy for our system.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	Programming	en_US
dc.subject	Facial expression	en_US
dc.title	Face Emotion Detection	en_US
dc.type	Other	en_US