Now Kinect is ready to detect the onset illness of older adults and prevent from fall risks.
In one study the Missouri University researchers used Microsoft Kinect to monitor the changes occurring on patient’s behavior routine.
As for the second study the researchers used Dopplar radar so as to recognize changes in patient’s body movement attitudes like walking, bending, jumping and the specific actions that can signal a heightened risk for falls.
The researchers note that obviously different body parts are creating unique signature or images on Doppler radar. Since falls combine pretty number of various body motions, the radar is initially structured in such a peculiar way so as it can recognize a fall based on its distinct “signature”. 
This technology openly reveals patient’s activity behavior and health conditions.
“Changes in the sensor patterns can then be used to detect early signs of illness and functional decline,” Skubic said.
There are being held also gait analysis assessing the fall risk and it is considered to be the indicator of health changes. This kind of procedures, analysis and interventions keep people healthier.
Doctors are already familiar with Kinect – in clinic procedures such as Kinect for oral function disorders, for hand paralysis,  or for surgery support. We can also meet this powerful device in schools.