Image Detection and Recognition Using Convolutional Neural Networks

Baby, Cysil Tom; Baby, Cyril Joe

doi:10.1007/978-981-19-3951-8_20

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Pure Science and Technology Applications (Scug-psta-2022)1

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2022

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“…These systems use a variety of approaches, including machine learning algorithms like Classification and Regression Tree (CART) and Support Vector Machine, to classify facial expressions (SVM). [16] gives access to a Support Vector Machine approach for fully automatic facial emotion identification that can classify eight emotions. Used datasets include the Cohn-Kanade Database (CK) and Extended Cohn-Kanade (CK+).…”

Section: Pure Science and Technology Applications (Scug-psta-2022)mentioning

confidence: 99%

The Impact of Emotions on the Speed and Score of Computer Games

Sharif

Ghareb

Muhamad

2022

PJBAS

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This Research has examined how video game affects the performance of the player. Unity tool has been used to create an interactive game with several ball objects that accrue additional points for each participant. Different methods have been used to strike the balls, using the mouse, keyboard, combination of both, and facial emotion. Image processing techniques have been used to match the facial expression with the EMOGI of the balls the players hit. The performance of the game has been affected by facial expressions. The study demonstrates how widely used, and highly engaging face-emotion techniques are in video games. The usage of visual observation concerning traditional input control and emotion input has been examined, and the differences are demonstrated. Our results show that facial emotions improve the technology for video games; in our game, we tested three types of facial emotions: sad, happy, and angry.

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Section: Pure Science and Technology Applications (Scug-psta-2022)mentioning

confidence: 99%