A wearable drunk detection scheme for healthcare applications

World Health Organization informed that traffic accidents potentially become the 5th leading cause of death if there is no effective way to restrict drunk driving. It is reported that 51 million people are injured or dead because of the traffic accidents every year. These traffic accidents lead to the expenditures of $500 billion dollars. Among these traffic accidents, drunk driving is one of the leading cause that drunk drivers can be found in 40 % of total traffic accidents. To protect the public from drunk driving, drunk driving detection (DDD) is considered as one of the effective ways. Among various types of DDD, electrocardiogram-based (ECG-based) detection can provide real-time monitor and response. In this paper, ECG-based drunk driving detection scheme was proposed. Among various types of DDD, the proposed work is able to provide early detection and fully automated detection with satisfied accuracy.