DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-5, Issue-3 ( Jul, 2017 ) | |||||||||
Paper Title |
VOCS Selection of Human Odour from Sweat | |||||||||
Author Name |
Ahmed Qusay Sabri, Rayner Alfred | |||||||||
Affilition |
Department of Information Technology University Of Sharjah Sharjah, United Arab Emirates UAE Faculty of Computing and Informatics University Malaysia Sabah Sabah, Malaysia | |||||||||
Pages |
63-66 | |||||||||
Abstract |
A problem of selecting appropriate human VOCs emitted from sweat is present , all gases emitted by human through sweat have been detected for 20 different times by 5 different persons using the latest technology , around 109 VOCs have been detected , applying feature selection methods to determine which VOCs are suitable to be used and which VOCs to be expel , Information Gain Entropy and Chi Test Square have been used to determine and decide the best and acceptable VOCs based on the number of appearance, results were presented in Accept Reject form and in percentage of acceptance, this research help to use a specific VOCs for human detection through odor. Keywords- odou, strong VOC. | |||||||||
| View Paper | ||||||||||
