Monitoring Health Wellness Using Walking Pattern

This paper presents a review on human identification based on gait features, i. e. the walking patterns of people. With the widespread technological development in the field of health wellness, provides various domain to take upon the challenges for new development of various applications. These technologies are utilized by layman without having awareness of, how they can use it for better results Paper looks after the issues of monitoring the walking activity (Gait Cycle Pattern) of patients under the process of rehabilitation after major/ critical leg surgeries. Architecture proposes collaborative working of real time videos, data aggregation through related application, analysis of collected data and communication gateway for future updates. Further communication and analysis of data varies person by person.