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This paper presents a new senior health monitoring system using the Kinect device to monitor elderly people and detect when they are likely to fall by measuring their gait, and analyzing change in posture when they change from sitting to standing or vice versa. Support vector machine is used to analyze the gait and posture data obtained from the Kinect device. Several experiments were performed to evaluate the proposed system and experimental results as well as research experience on using the Kinect device will be presented.