Emotion Detection: Comparison of Various Techniques
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 3
Abstract
Expressions and body language can tell us a lot about what people are thinking. They are a form of non-verbal communication which tells us about how the person is feeling. It describes the mood of the person like whether he is happy or sad. This detection can be done using various techniques which are already based in the research papers like instrumented sensor technology and computer vision. It means that the expressions can be classified under different techniques like whether motion of the person is still or he is moving. This paper focuses on detecting the emotions of the person using computer vision. Using the Artificial Intelligence Technique and Mediapipe along with Computer Vision we are focusing on various joints in our body and storing their coordinates in a python file created there and then testing our Algorithm to detect the mood of the person. In addition, a dialogue box also pops us while detecting the emotions which tells us about the probability i.e the accuracy of our detection and also tells us about which emotion it is. The current model consists of three emotions, they are happy, sad and victorious i.e Gestures are detected. The algorithm is focusing on the difference between the coordinates and detect the emotions. Detection at a distance might be an issue as the coordinates will be different then. This paper is a thorough general overview of Body Gesture Detection with a brief description of things which are going to be there.
Authors and Affiliations
Jatin Goel, Shardul Chauhan, Harshita Jain
Keywords
Related Articles
- EP ID EP746235
- DOI 10.55524/ijircst.2022.10.3.8
- Views 44
- Downloads 0
Revolutionizing Education with Geekbits: A Comprehensive Study
In an era where digital technology pervades every aspect of our lives, education too has undergone a profound transformation. Geekbits emerges as a pioneering solution, aiming to revolutionize the learning experience for...
Cross-Media Data Fusion and Intelligent Analytics Framework for Comprehensive Information Extraction and Value Mining
The core content of this paper is to analyze the integration of cross-media data and artificial intelligence. The core of the whole paper is to analyze different types of media data such as text, image and video. With th...
Enhancing Laboratory Experience: A Combination of RFID and Machine Learning Techniques to Track Attendance and Upgrade Hardware
Practical subjects have grown in importance in student lives over time. Certain components may malfunction or not be suitable for the experiment being conducted. The RFID system facilitates the tracking of both student a...
Comparison between Multiple Attribute Decision Making Methods through Objective Weighting Method in Determining Best Employee
Multiple Attribute Decision Making (MADM) is a popular method to be selected in numerous studies in solving decision-making cases. Methods like SAW, WASPAS, SMART, and WP are preferred among researchers to be used for ma...
A System for Recommendation of Medication Using Gaussian Naïve Bayes Classifier
As the medical data keeps growing day by day, it is difficult to search for relevant information from the huge data. Improper medications may lead to serious health risks and even may result in the death of the patient....