Using the Kinect to limit abnormal kinematics and compensation strategies during therapy with end effector robots

Area of Science:

• Rehabilitation Engineering
• Biomechanics
• Robotics in Medicine

Background:

• Abnormal kinematics and compensatory strategies impede functional gains in physical therapy.
• Current therapy systems lack objective feedback on movement quality and compensatory behaviors.
• Low-cost sensors like the Kinect offer potential for enhanced feedback in rehabilitation.

Purpose of the Study:

• To present a novel method for integrating the Kinect sensor with an end-effector robot.
• To limit compensatory strategies during robotic-assisted therapy.
• To train normal joint coordination and improve functional outcomes.

Main Methods:

• Integration of a markerless Kinect sensor with an end-effector robotic system.
• Utilizing the Kinect to monitor and provide feedback on movement quality.
• Employing the robotic system to restrict compensatory movements and guide normal joint coordination.

Main Results:

• The novel technique successfully integrated the Kinect sensor with the end-effector robot.
• The system demonstrated the potential to limit compensatory strategies during therapy tasks.
• The methodology facilitates training of normal joint coordination during robot-assisted movements.

Conclusions:

• Integrating the Kinect with end-effector robots offers a promising approach to enhance rehabilitation.
• This method can effectively limit compensatory strategies and promote normal movement patterns.
• The technique has broad implications for various robotic and passively actuated rehabilitation devices.