Posted on Nov 23, 2022
This task is provided to demonstrate how to create a visuomotor rotation task.
This task also provides an example of a “persistent” variable in embedded MATLAB (see the Calculate_Desired_Rotation function with /Visual_Rotation/Triggered Subsystem/).
Task was built using MATLAB 2015a and Dex 3.9
Posted on Aug 30, 2022
A special thanks to Kozak et al. for requesting to post this task. Rebecca Kozak will be pleased to help you with questions about the task. The provided *.SLX file is for MATLAB 2015a, and the compiled *.DLM is for Dexterit-E 3.9. This task is designed to work on Kinarm End-Point labs only.
This is the emerging target paradigm described in (Kozak et al. 2020). This task will draw an inverted ‘Y’, with an occluder blocking the divergence. A moving target will appear at the top of an inverted ‘Y’, moves down the initial straight away, disappears behind an occluder, then reappears below the occluder, emerging from the outlets in one of two directions.
To properly cite this task, please use:
Kozak RA, Cecala AL, Corneil BD. An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles. J Vis Exp e61428, 2020.
Posted on May 13, 2022
This task demonstrates how to use Task Control Buttons. These are buttons that appear in the Dexterit-E interface when running the task. When these buttons are clicked, that information is passed to the running task program.
This model file is for MATLAB 2015a or later.
Posted on Feb 17, 2022
This isn’t really a task per se, it’s really just a demonstration of how to dynamically manipulate an image and use forces. When you start the task an image of a spring will be displayed between the hands (on uni-manual systems, one end of the spring will be at a fixed location). As you try to move your hands apart or together you will feel a spring trying to hold you at one distance. The task will work on a Kinarm Exoskeleton or EP robot.
The task was built for Dexterit-E 3.9 and MATLAB 2015a.
Note: This is a much improved version of the task. This has been cleaned up substantially since the first version and works on unimanual systems.
Posted on Nov 11, 2021
This is pure Python code that can read a *.kinarm exam file.
Posted on Apr 27, 2021
This example makes use of the Input File block. This is a block that was introduced in Dexterit-E 3.9. The Input File block allows that task programmer to specify that a data file should be passed to the task when it runs. The operator needs to specify the file that will be passed.
In this example, a previously recorded exam is processed to output a set of X,Y hand positions. Those positions are passed to the Robot Computer so that the task can draw the hand positions with a set of Path VCodes.
The task is compiled for MATLAB 2015a SP1 and Dexterit-E 3.9
Posted on Aug 6, 2020
This task is designed to show a target for a single frame on the subject display. The algorithm should work properly for any refresh rate on the subject display. The model is extensively commented with the details of the algorithm.
The task is compiled for MATLAB 2015a SP1 and Dexterit-E 3.7.
Posted on Aug 6, 2020
This is a demo on how to access some of the data about the robots (link lengths, angles, positions of hand, elbow, and shoulder) in real time during a task. The task will draw the data on the subject display in real time to show what the link lengths, angles, positions of hand, elbow, and shoulder are. It is a real time visualization of Fig 7-1 Equations of Motion Parameters from the Dexterit-E 3.7 User Guide.
As well, the task demonstrates the use of moving targets, targets with changing labels, and the path target type, new in Dexterit-E 3.7.
The task is compiled in MATLAB 2013a and Dexterit-E 3.7 and will not work on earlier Dexterit-E versions.
Posted on Aug 6, 2020
This is a task that will demonstrate the use of path targets, new in Dexterit-E 3.7. The task will draw a trail that will follow hand movement.
Compiled in MATLAB 2013a and Dexterit-E 3.7 and will not work on earlier Dexterit-E versions.
Posted on Aug 6, 2020
This demonstration task is intended to show the use of the repeat target type, new in Dexterit-E 3.7, and is based on the ideas presented in:
Britten, Kenneth H., Michael N. Shadlen, William T. Newsome, and J. Anthony Movshon. “The analysis of visual motion: a comparison of neuronal and psychophysical performance.” Journal of Neuroscience 12, no. 12 (1992): 4745-4765.
Pilly, Praveen K., and Aaron R. Seitz. “What a difference a parameter makes: A psychophysical comparison of random dot motion algorithms.” Vision research 49, no. 13 (2009): 1599-1612.
This task was compiled in MATLAB 2013a and Dexterit-E 3.7 and will not work on earlier Dexterit-E versions.
