PAPERS: Analyzing of human facial bearings from facial emotion detection framework using Deep Learning

 

Analyzing of human facial bearings from facial emotion detection framework using Deep Learning

ABSTRACT- Aspirations are increased perilously with the contemporary technology in these days; Deep learning techniques are driven to develop various types of applications in and around computer vision. HCI systems are designed to analyze various human emotions that will help to study and analyze human behaviors. In Artificial intelligence, CNN and DNN models are pinpoint and trained to test to detect the emotions of human face and extracting their facial features. Mankind emotions such as annoyance, aversion, panic, satisfaction, unhappiness, revelation and so forth. Features are classified and analyzed using emotion recognition methodologies. The frameworks will be recognized and evaluated to generate the various results of samples that will help in investigating the human facial bearings and its instances that are used in a wide variety of HCI applications.

Keywords: HCI, CNN, DNN, Framework, bearings, instances

"ANALYZING OF HUMAN FACIAL BEARINGS FROM FACIAL EMOTION DETECTION FRAMEWORK USING DEEP LEARNING", Dr.V.Shanmukha Rao,Md.Imran,D.S. Srinivas,D. Varun Prasad, Dogo Rangsang Research Journal UGC Care Group I Journal, ISSN : 2347-7180 Vol-13, Issue-4, No. 20, April 2023 Page | 244 DOI: 10.36893.DRSR.2023.V13I0.0244-0249 

https://www.journal-dogorangsang.in/no_1_Online_23/37s.pdf

https://www.journal-dogorangsang.in/no_1_Online_23.html