Cover Image

Facial recognition for human disposition identification

Autonomous human facial disposition identification is beneficial in the majority of applications, including healthcare, customer satisfaction, criminal investigation and Human-Robot Interaction (HRI). Deep learning techniques able to classify human expressions into emotion categories via Convolution...

Full description

Saved in:
Bibliographic Details
Main Authors: Munanday, Anbananthan Pillai, Norazlianie, Sazali
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/36727/1/Facial%20recognition%20for%20human%20disposition%20identification.pdf
http://umpir.ump.edu.my/id/eprint/36727/
https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://umpir.ump.edu.my/id/eprint/36727/1/Facial%20recognition%20for%20human%20disposition%20identification.pdf
http://umpir.ump.edu.my/id/eprint/36727/
https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files

Similar Items