Published January 30, 2025 | Version CC BY-NC-ND 4.0
Journal Open

Human Mood Detection using Image Processing and Machine Learning and Deep Learning

Creators

  • 1. Department of Information Technology, JIS College of Engineering, Kalyani (West Bengal), India.

Contributors

Contact person:

  • 1. Department of Information Technology, JIS College of Engineering, Kalyani (West Bengal), India
  • 2. JIS College of Engineering, Kalyani (West Bengal), India.

Description

Abstract: This work aims to develop an efficient algorithm to automatic the detection of emotions based on facial expressions. Which involves the use of computer vision & machine learning techniques to classify the emotions of individuals or groupsin realtime using an image. As mood detection refers to the process of using various techniques and tools to identify or recognize the emotional state or mood of an individual based on their facial expressions. Its purpose will be to provide insights into the psychological state of individuals for various applications such as mental health diagnosis. It typically involves the use of machine learning algorithms and natural language processing techniques to analyze and interpret human behavior. This approach also uses deep learning models to learn the features of facial expressions and detect the corresponding emotions. The results show that the proposed algorithm is accurately detecting emotions from images with better accuracy & less false detection, which can be suitable for use in various  applications such as healthcare, entertainment and social media.

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Additional details

Identifiers

EISSN
2231-2307
DOI
10.35940/ijsce.I9700.14060125

Dates

Accepted
2025-01-15
Manuscript received on 15 July 2023 | First Revised Manuscript received on 27 October 2024 | Second Revised Manuscript received on 05 January 2025 | Manuscript Accepted on 15 January 2025 | Manuscript published on 30 January 2025

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