International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 51 REVIEW ON: A WIRELESS IoT SYSTEM FOR GAIT DETECTION IN STROKE PATIENT Neha Agrawal 1 , Vasant Bhonge 2 [1][2] Department of Electronics and Telecommunication ------------------------------------------------------------------------***------------------------------------------------------------------------- Abstract - Gait monitoring using IOT is an important medical diagnostic process for stroke patient. We will design and implement an IOT system with Wi-Fi communication model and smart phone to discreetly monitor insole pressure of the patient’s motion. this system is helpful for fall detection, the best way to reduce number of falls and to predict and prevent them from happening in first place.in this system an Internet based body sensors are used which is a wireless portable network used for gait detection and prevention of fall in stroke patient. For this study, a smartphone built-in sensor a with a Wi-Fi communication module is used to discreetly monitor insole pressure and accelerations of the patient’s motion. To the best of our knowledge, we are the first to use the gait spatiotemporal parameters implemented in smartphones to predict a cautious gait in a stroke patient. The proposed system can warn the user about their abnormal gait and possibly save them from forthcoming injuries from fear of falling. Keywords - Gaits, IoT, Health, Wireless, Internet, Sensor, Network, Device, Detection. I. Introduction- IOT is for internet of things. It refers to ever growing network of physical object that feature an IP address for internet connectivity and communication that occurs between these objects and other internet enabled devices and systems. IOT is a system of interrelated computing devices, mechanical and digital machines, objects that provided with unique identifiers and ability to transfer data over network without requiring human-to-human or human-to-computer interaction. I. It is a modern wireless communication technology having its application areas in various diversified domain areas. The basic idea of this concept is the pervasive presence around us of a variety of things or objects – such as Radio-Frequency Identification (RFID) tags, sensors, actuators, mobile phones. II. Injuries due to a heart attack are a major health problem all over the world. More than 85% of heart attack patients regain the capacity to walk but their gait differs from that of healthy subjects. In older adults, the fear of falling after a stroke, named ‘‘cautious gait’’ leads to a specific gait pattern with reduced stride length and gait velocity. This diagnosis will also help to predict and prevent users from an injury. Stroke is one of the leading causes of morbidity and mortality in adults, accounting for 17.3 million deaths per year. Strokes significantly contribute to reduced gait performance. The majority of stroke patients do not reach a walking level that enables them to perform all their daily activities IoT has created an explosion of sensor data due to the increased number of devices with embedded sensors. the aim of this study is to determine if the gait of stroke patients changes significantly over successive gait trials using smart phones. Data from a pressure-sensor embedded shoe and smart phone sensor were used to validate the proposed approach and to identify fear of falling with cautious gaits. Injuries due to a heart attack are a major health problem all over the world. More than 85% of heart attack patients regain the capacity to walk but their gait differs from that of healthy subjects. In older adults, the fear of falling after a stroke leads to a specific gait pattern with reduced stride length and gait velocity. Stroke is one of the leading causes of morbidity and mortality in adults, accounting for 17.3 million deaths per year. Strokes significantly contribute to reduced gait performance. The majority of stroke patients do not reach a walking level that enables them to perform all their daily activities. For this project, we want to create smart sensor device that give the user feedback on any recognized walking abnormalities as fast as possible. Even though we think this will be more for older people, the product will be helpful for people of all ages. Using concept of IoT, to detect and translate physical data from real world. The device will track the user