Analysis of performance between kinect v1 and kinect v2 for various facial part movements using supervised machine learning techniques

• Main Author: Heng, Sheng Guang
• Format: Thesis
• Language: English
• Published: 2022
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/37656/1/ir.Analysis%20of%20performance%20between%20kinect%20v1%20and%20kinect%20v2%20for%20various%20facial%20part%20movements%20using%20supervised%20machine%20learning%20techniques.pdf; http://umpir.ump.edu.my/id/eprint/37656/

Facial exercises are a series of facial movements such as exaggeration and deflation in upper, middle, and lower face zone for promoting youth and rejuvenating facial muscles. Previously, the effectiveness of facial exercises for rehabilitation and rejuvenation purposes is still controversial due to...