Human Activity And Recognition Using Kinect Sensor

The study on human body movements tracking and analysis with computer vision technology is a fundamental principle in many applications.In this thesis,a Kinect sensor based system for human activity and recognition is developed,and this system is required to be affordable,efficient,and most importantly to be able to provide real-time feedback of movements.Therefore,the significant contributions in developing the integrated human activity and recognition using Kinect sensor contain data collection including skeleton and RGB depth frames,tracking and monitoring human body movement,privacy-aware user registration and identification protection,real-time feedback for recognition process.Along with using a cloud-based database system as a data resource,this system also entails creating a graphical user interface and data visualization application to illustrate statistical information for administrators.