Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{151607, author = {ADITI RAI and vandana nandan mishra and Manik Pandey and Aanchal Vij}, title = {TherapGuruJi A live interaction to human emotions}, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {8}, number = {1}, pages = {1349-1355}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=151607}, abstract = {The shape of a person's face conveys more detail about appearance than is clearly defined. Facial features detection plays a crucial role for the world of human to machine interactions. The automated facial recognition system has several onboard applications together with, however that not restricted to, human behavior of forming an understanding to it, discovering of mental disorders, and AI of human expressions. Thus recognition of facial features through electronic devices with a high recognition rate remains a daunting job. Throughout the process we have used a number of ways (convolutional neural network) to detect the 7 main human expression/emotions: happy,anger, disgust,sadness, surprise and neutral norms. }, keywords = {}, month = {}, }
Cite This Article
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry