VOCS Selection of Human Odour from Sweat
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.