Welcome [cs.appstate.edu]



The Research Experience for Teachers Program events have led to an increase demand for security. The ability to identify persons of interest is one way to increase security. Recognition software can be used to identify suspects in a criminal case, secure building entry, or to find people on a missing persons list. Recognition software can also be used in medical research and as a tool in the design of video games. ProcedureBackground:Ratios, proportions, and measurement are key components in all areas of mathematics, natural sciences, and computer sciences. Using these components can allow for the analysis of data to draw connections and inferences, and to make predictions. The Kinect tracks 25 different joints on the body. Preparation:Make sure ImageJ, a spreadsheet application, and the body tracking software (see the note below) are all installed on a pc running Windows 8 or above. Setup the Kinect sensor in a location where there is plenty of room to move in front of it. See here for the Xbox One Kinect’s system requirements and for more detailed hardware setup instructions. Note: The associated file provided with this module contains the body tracking program, BodyTrackingDemo.exe, and the Kinect runtime installer, KinectRuntime-v2.0_1409-Setup, which are both required in order to complete this module. The tracking program can be used as is, but the installer must be run so the required Kinect files can be installed on your pc.Pre-Assessment: Define ratios and proportionsDiscuss units of measurement and measurement errorBrainstorm which human body ratios would be important to calculateLab Activity:Every member of team will stand in front of the Kinect to perform these steps individually:Find the “BodyTrackingDemo.zip” file that was downloaded, and unzip it to a desired location. Open the BodyTrackingDemo folder and run BodyTrackingDemo.exe.Enter a desired file name into the provided textbox to differentiate multiple sets of saved data. Files will be saved with the name “default” if no name is specified.Stand in front of the Kinect Sensor at a minimum distance of 4.5 feet so all joints can be tracked. A red line will appear on the side of the window where joints are not being seen by the Kinect Sensor.Form multiple poses with your body and record their data using a closed hand gesture with your right hand. Keeping one’s hand closed will cause the program to continually save data, once every second. Poses will be saved as images in the skeletons folder, and the associated joint data is saved as a comma separated value file in the data folder.Analyze the recorded data for each of the poses to learn about proportions between relevant joints, and to learn how the Kinect Sensor records positional information for each of the joints it tracks.Figure 1 - Kinect 2.0 JointsPost-Assessment:Once you’ve obtained the skeleton data for your team members, discuss what kind of things you can study using the recorded data and images.For example, investigate whether Leonardo Da Vinci’s golden ratio, and the proportions you’ve found in the data you collected are similar. [See Reference 1].Try to answer the following questions:What is the ratio of arm/wingspan (fingertip to fingertip) to total height? Is it relatively the same for all group members?Can you predict the height of an individual based upon any other anatomical measurements?What are possible error conditions that could distort the data?What are some possible applications for this type of science?Is there a variance between female and male, or age differences, skeletal ratios?Results/Conclusions:After completing the module, you will have obtained the following data and information:Spreadsheets and graphs from the data analysis.A better understanding of how the Kinect records positional data for each of the tracked joints.Knowledge of proportions between relevant joints in the body.Reference(s): [1] ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download