#Kinect skeleton tracking demo how to#
#Kinect skeleton tracking demo verification#
#Kinect skeleton tracking demo windows#

Expanded skeletal tracking abilities, including вЂњseatedвЂќ skeletal tracking that focuses on 10 upper body joints.

A small dongle to increase compatibility with other USB devices.

A shortened USB cable to ensure reliability.

#Kinect skeleton tracking demo windows#

The features unique to the Windows version of Kinect include: It is licensed for commercial app distribution so it is the best option for development.В Kinect for Xbox 360 was designed and tested for the console but can also be used on development with some limitations. Kinect for Windows is specifically designed to be used with computers. Kinect for Windows vs Kinect for XBox 360 There are lots of official and non-official tools, libraries, demos, tutorialsвЂ¦.But Kinect sensor has some limitations that you should know before starting developing for this device. Nowadays there is a big community of developers and researchers around the world and several new applications are emerging.Дeveloping for Kinect is really easy. Microsoft also released the official SDK and the Kinect for Windows, a more powerful device to use in research. Since it was released, hackers immediately saw potential in the device far beyond it and created open source libraries to use in other applications. The Microsoft Kinect is a set of sensors developed as a peripheral device to use with the Xbox 360 gaming console.

#Kinect skeleton tracking demo how to#

Any ideas or suggestions about how to implement it? All SDKs present good accuracies after small movements but this is not useful in our system, where we want to detect if an individual is lying on the floor. This is the same problem we had with the previous approaches.ДЄfter all the experiments using both SDKs for the Kinect and different methodologies, we realized the Kinect has an important limitation to track joints when the individual is motionless. This approach has the same limitation: pickup the person if is already lying on the floor when the Kinect turns on. Once the individual is selected, we check if the individualвЂ™s bounding box is less tall than a threshold value and the position of the highest point is lower than a threshold, which means than the user is lying on the floor.

#Kinect skeleton tracking demo verification#

The fall verification consist of detecting the individual using the depth data to segment the user from the background. We also performed some experiments using OpenNI and open source libraries. User selection using depth data with OpenNI Using this SDK we obtain better results in terms of accuracy of detection but not enough for a reliable verification of the fall. Since the first approach presented some problems to detect the individuals joints when the Kinect turns on and the individual is already lying on the floor, we decided to try with this SDK. As we discussed in this post, it has some advantages and disadvantages but is always an alternative to develop Kinecting applications. OpenNI is the open source SDK for the Kinect. The algorithm gives good results after small movements of the individual, but sometimes the person remains unconscious after a fall which makes this approach not useful. The main challenge is to detect the joints when the Kinect turns on and the individual is already lying on the floor. We performed several experiments implemented with the official Microsoft SDK. The fall will be considered detected if the distance from the floor is almost zero from all joints. The fall verification could consist of detecting some joints (head and hands, for example) using the skeleton tracking framework (included in the Microsoft SDK) and calculating the distance from the floor. In this post we will discuss three different approaches for the verification of the fall event and its associated problems. This verification consists of detecting if the individual is lying down in the floor. However, we designed a system to detect fall events using a smartphone and we want to use the Kinect for verification after a fall. Its implementation is quite easy using the framework for skeleton tracking. The Kinect can be used in a fall detection system to detect when an individual is walking and suddenly falls. In the medical field, for example, the sensor offers great possibilities to the treatment and prevention of disease, illness or injury, as we discussed in this post. There are different applications that take advantage of its functionality of 3D motion capture. MicrosoftвЂ™s Kinect is a powerful sensor for motion tracking and analysis.