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

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

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...

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Bibliographic Details
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/
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

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