Detection and Avoiding Addiction Using Embedded Systems

S Kavitha¹

¹Assistant Professor, Department of ECE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India

Abstract

About 80% of the people in the world are addicted to one or more addictive substances. Addiction is one of the chronic disorders that are characterized by the repeated use of substances or behaviours despite clear evidence of morbidity secondary to such use. It is a combination of genetic, biological/pharmacological and social factors. Example: Over eating, Gambling, Alcohol drinking, Taking Narcotic Drugs and Certain Mannerisms. In this paper we are going to see about a design of device that can entirely avoid addiction. The device Addiction Avoider is based upon the principle of controlling “Brain waves”.

Keywords

• Chronic Disorders, Brain Waves, Addiction Avoider, Pharmacological Factors

Author's Profile

Author profile can be generated and linked through our partners World Book of Researchers. To include your profile online Click Here. After it is approved, please email to edlib @ asdf.res.in to create a link with all the papers.

• S Kavitha : Profile

e-AID

Cite this Article as Follows

S Kavitha. Detection and Avoiding Addiction Using Embedded Systems. International Conference on Advances & Challenges in Interdisciplinary Engineering and Management (2017): 06. Print.