Authors : C.R. Srinivasan, Sannidhya Navin, Tushar Verma and R. Srividya
Abstract: Obesity demonstrates a weight more noteworthy than what is viewed as solid. It is an unending condition characterized by an abundance measure of muscle versus fat. Obesity is best characterized by utilizing the BMI. It is ascertained utilizing a man’s tallness and weight. The Body Mass Index (BMI) breaks even with a man’s weight in (kg) partitioned by their stature in m2. A grown-up who has a BMI of 25-29.9 is viewed as overweight and a grown-up who has a BMI more than 30 is viewed as stout. A BMI of 18.5-24.9 is viewed as typical weight. This project uses behavioral treatment to induce a healthy eating/working habit which is an umbrella term for kinds of treatment that treat wellbeing issue. This type of treatment looks to distinguish and help change possibly pointless or undesirable practices prompting physical issues. It works on the possibility that all practices are found out and that undesirable practices can be changed. This project deals with taking real-time structural data relating to obesity from a patient, identifying his obesity and suggesting proper behavior patterns for him to counter the problem and make him healthy again. It consists of the following steps: obesity detection, quantification of severity and suggestion of behavior.
C.R. Srinivasan, Sannidhya Navin, Tushar Verma and R. Srividya, 2019. Smart Way to Control Obesity using Telemedicine Method. Journal of Engineering and Applied Sciences, 14: 8484-8489.