A Novel Approach Towards Identification of Alcohol and Drug Induced People
This addresses the need for external help for unconscious individuals due to substance use, though it appears incremental as it applies existing classification methods to a new wearable application.
The paper tackles the problem of identifying alcohol and drug-induced individuals using a wearable bracelet that monitors Blood Alcohol Content (BAC) and pulse rate, achieving 81.9% accuracy in classification with an ensemble boosted tree algorithm.
The paper proposes a novel approach towards identification of alcohol and drug induced people, through the use of a wearable bracelet.As alcohol and drug induced human people are in an unconscious state of mind, they need external help from the surroundings.With proposed Bracelet system we can identify the alcohol and drug indused people and warning trigger message is sent to their care takers. There is a definite relationship between an individual's Blood Alcohol Content (BAC) and Pulse Rate to identify the alcohol or drug consumed person .This relationship of pulse rate with BAC is sensed by piezoelectric sensor and warning system is developed as a Bracelet device . The viability of the Bracelet is verified by Simulating a Database of 199 People's BAC and Pulse Rate Features and classification is done among the Alcohol Induced and Normal People. For classification,Ensemble Boosted Tree Algorithm is used which is having 81.9% accuracy in decision.