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 19
- Downloads 0
Analysis of Bullet Train Project Using CPM and PERT
One of the most significant tools for project planning and management is the Critical Path Method (CPM), as well as the Project Evaluation and Review Technique (PERT). When the time required or anticipated to perform spe...
Entropy Based Deep Attention Mechanism (EDAM) To Mitigate Denial of Service (Dos) Attack Orchestrated Through Idempotent Operation
Measuring entropy in a system represents the degree of uncertainty that characterizes the smooth, free and fair conduct of the network operations. The change in quantum of entropy value raises an alarm of the unscrupulo...
Performance of MIMO-OFDM Transmission System on Wireless Networks
A detailed study of the performance of MIMOOFDM transmission on WLAN physical layer specified in IEEE 802.11n, Wi-MAX (IEEE 802.16-2009) physical layer specified in 802.16 and LTE downlink physical channel (PDSCH) has be...
A Review on Machine Learning and Its Applications
Learning is the most important aspect of human intellect and the most fundamental method of acquiring information. Machine learning is the most basic method for making a machine intelligent. Application Data has grown in...
Novel Arrangement of Boost Converters for Conduction Modes
Position control of motors is widely used in many aspects of life, including commercial, household, and industrial settings. More than seventy percent of electrical demand is projected to be motor load. The motors in thi...