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S&T Best Computing Projects
Identification of 3D facial features for prediction of respirator’s fitness
/sw/islandora/object/stcompfyp%3A100/datastream/OBJ/view
Collection
S&T Best Computing Projects
Details
Record ID
stcompfyp:100
Title
Identification of 3D facial features for prediction of respirator’s fitness
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Tam, Sze Wah Solomon (creator)
Lui, Kwok Fai Andrew 呂國輝 (supervisor)
School / Unit
School of Science and Technology (S&T)
Program
Bachelor of Science with Honours in Internet Technology
Date
2014
Abstract
This project aims to develop the computer respirator prediction system by finding out the key human facial features that affect the fitness of respirator.
Type of Resource
PDF
Language
English
Physical Description
3 pages.
Keywords
e-health and medical applications; N95 respirator fit tests; machine learning algorithms; A* (search algorithm)
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:100
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