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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: Human Emotion Detection using Machine Learning Techniques
Authors Name: Rasik Dongare , Dharmesh katariya , satendra pal
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IJRTI_201502
Published Paper Id: IJRTI2503222
Published In: Volume 10 Issue 3, March-2025
DOI:
Abstract: The process of converting an image into digital form and applying various procedures to it is known as image processing. This is done in order to improve the image or to glean information from it. One way to communicate nonverbally is through facial expressions. Neutral, joyful, sad, angry, contemptuous, disgusted, afraid, and surprised are among the eight universal face expressions. Therefore, it is crucial to recognize these facial emotions. A technologically based monitoring system for senior citizens that uses video images to identify emotions. In order to monitor the living conditions of elderly people in real time, our suggested solution incorporates video analysis technologies. The system will send a message to their children and family in the event of an emergency
Keywords: Convolutional Neural Networks (CNN), Local Binary Pattern Histogram (LBPH) technique, facial expression recognition
Cite Article: "Human Emotion Detection using Machine Learning Techniques", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c122-c127, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503222.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2503222
Registration ID:201502
Published In: Volume 10 Issue 3, March-2025
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Page No: c122-c127
Country: mumbai, maharashtra, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503222
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503222
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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