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
