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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Emotion Detection Using Deep Learning Techniques

Emotion Detection Using Deep Learning Techniques

Khurshid, Syyada Shumaila

Paperback

General Computers

Currently unavailable to order

ISBN13: 9798343743265
Publisher: Independently Published
Published: Oct 19 2024
Pages: 42
Weight: 0.27
Height: 0.09 Width: 8.50 Depth: 11.00
Language: English
Determining human emotions from photographs is a difficult but important challenge for social communication. Emotion detection using traditional approaches is typically inefficient and inaccurate. In this study, we investigate how convolutional neural networks (CNNs), a type of deep learning technique, may improve the ability to identify emotions from facial expressions. In order to increase CNN efficacy, we test several preprocessing methods and refine CNN designs to identify eight fundamental emotions. Our goal is to improve human emotion recognition and classification through deep learning, so that computers can react to human emotions and behaviors more precisely.

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