Kinect Stream Saver- README

>> This application is developed based on a sample called "ColorBasics-D2D C++" developed by Microsoft corporation. (Compatible with SDK 2: K4W v2 Dev

>> Noncommercial — You may not use this application for commercial purposes.
>> ©Elham Dolatabadi, Intelligent Assistive Technology and Systems Lab (IATSL), University of Toronto, Toronto Rehab.

To collect data with the Kinect Stream Saver:

1) Run KinectSources-D2D.exe:

- In the lower right corner of the window:
Enter subject's name if desired.
Choose which data streams to collect.
Press Capture to begin data collection.
Press Stop to end data collection.

2) The collected data will appear in C:\KinectData.

- LiTimeStamp.binary:
This file has fields: counter#, frame#, timestamp
- The counter starts at 1 when the Capture button is pressed and data collection begins.
- The frame number is from the Kinect API; it starts when KinectExplorer-D2D.exe is launched.
- The timestamp is in milliseconds, and is useful for recording frame rate. (At present data
is collected at approximately 30 frames/second, so frames are approx 33 msecs apart.)

- Color images are saved as .bmp files, on each frame.
. as .bmp files on each frame.
. as "binary" data stored in a .binary file.

- Depth images are saved either
. as .bmp files on each frame.
. as "binary" data stored in a .binary file.

- Skeleton data:
The program can track up to six skeletons at once. For the first four, all joints are tracked.
For the last two, only the center of mass is tracked.

Saving The Joint Positions: one data files is created, named Joint_Position.binary.

One hundred fifty rows are written to each skeleton data file for each frame. These 150 rows store
data for the 25 skeleton joints in the following order for 6 tracked users.


--- "JointPosition....binary" File ---

Each row contains following fields:
- position (x, y, z); joint tracking state (in joint rows)*

* Tracking states: 0=joint is not tracked; 1=joint is inferred; 2=joint is tracked


i) If a user that is being tracked leaves the field of view and later returns, the Kinect
does not know it is the same person, so they will be assigned a new skeleton id. This
can mean that the person's data appears in more than one data file.



The Kinect Stream Saver application is based on the KinectExplorer-D2D (for C++) sample code.
Modifications to the sample code are explained below.

1) Two new classes were added.

- StreamSaver:
This class has methods that store stream data (color, depth, skeleton) to a dynamic FIFO
buffer as the data is received from the Kinect device, and separately write the data from
the FIFO buffer to output files as described above. The disk writes are done in a separate
thread to avoid degradation of frame processing speed during data collection.

- SaverViewer:
This class implements a fourth GUI tab in the KinectExplorer application. The tab is labeled
"Recording" and it allows users to specify which data streams should be saved to disk.

2) A few classes in the KinectExplorer sample code were modified. The changes were kept to a
minimum, but were necessary to invoke the functionality of the new classes.

- KinectWindow
- NuiColorStream
- NuiDepthStream
- NuiSkeletonStream

3) A new GUI "Recording" tab was designed and included in the application resources. This
included modifications to the following files.

- KinectExplorer.rc
- resource.h


Instructions to open "JointPosition....binary" in MATLAB:

fid = fopen('C:\KinectData\Skel\liTimeStamp.binary');
B = fread(fid,'int64');

n = 4; % No. of columns of T
BB = reshape(B, n,[]);
T = permute(BB,2,1);

fid = fopen('C:\KinectData\Skel\Joint_Position.binary');
A = fread(fid,'float');
A(A>5)= 0;
A(A<-5)= 0;
jointNumber = 20;
tracks = 6;
AAAA = reshape(A, 4,jointNumber,tracks,[]);
sensor.Skeleton = permute(AAAA,1,2,4,3);



Special thanks to Marge Coahran for all the help with putting together the README file !


Terms of Use:

If your research benefits from the Kinect Stream Saver application provided by IATSL, please consider the following Terms of Use:

- please cite the followign paper in any publications about your work:

* Elham Dolatabadi, Babak Taati, Gemma S. Parra-Dominguez, Alex Mihailidis, “A markerless motion tracking approach to understand changes in gait

and balance: A Case Study”, the Rehabilitation Engineering and Assistive Technology Society of North America (RESNA 2013 Annual Conference). Student

Scientific Paper Competition Winner

- please acknowledge this application in any publications about your work. Thank you for your support.

Acknowledgement Text Examples:

We would like to acknowledge Intelligent Assisstive Technology and Systems Lab for the application that facilitated this research, including the

Kinect Stream Saver application developed by Elham Dolatabadi



Please contact Elham Dolatabadi, at and +1 (416) 597-3422 x7391

Last edited Aug 23, 2014 at 5:18 AM by edolataabadi, version 1