• PARDEEP KUMAR
• Dr. R VIVEKANANDAM

In this efficient work, we propose another methodology for anchoring wireless interchanges for wearable and implantable healthcare gadgets utilizing gait signal vitality varieties and an Artificial Neural Network (ANN) framework. By at the same time removing comparative highlights from BSN sensors utilizing our methodology, double keys can be created on interest without client mediation. Through a broad examination on our methodology utilizing a gait dataset, the outcomes have demonstrated that the paired keys produced utilizing our methodology have high entropy for all subjects. Wearable sensors are right now the premise of observing and breaking down gait outside the clinical condition with, among others, tele-health and tele-care applications. Inside this extension, this work tries to investigate gait of the patients of stroke to identify their means and afterward gauge their progression length amid day by day life. The last point is to enhance determine and treatment of patients to have stroke

"NEURAL NETWORK BASED GAIT SYSTEM FOR SECURE WIRELESS SENSOR NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.241-247, October-2018, Available :http://www.jetir.org/papers/JETIR1810643.pdf

"NEURAL NETWORK BASED GAIT SYSTEM FOR SECURE WIRELESS SENSOR NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp241-247, October-2018, Available at : http://www.jetir.org/papers/JETIR1810643.pdf