Abstract
Rehabilitation devices are designed applying techniques that can determine the adaptability level of the patient using different type of exercises. It is important for the rehabilitation therapy applications to reproduce the exercise made by the therapist for a good recovery of the patient’s motor functions. Thus, it is essential to track and use these tasks to design a path planning for controlling rehabilitation devices.
In this paper, a 3D vision tracking method is presented. This method allows to track a medical ball also in poorly-lighted and not structured environments through images captured by a camera in combination with a depth sensor, obtaining the 3D Point Cloud of the centroid as result. The Point Cloud is then fitted to a curve to give a reference trajectory to reproduce the exercise.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Stein, J.: Robotics in rehabilitation: technology as destiny: S199-S203. Reinkensmeyer, D.J., Boninger, M.L.: Technologies and combination therapies for enhancing movement training for people with a disability. J. Neuroeng. Rehab. (2012)
Basteris, A., et al.: Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review. J. Neuroeng. Rehabil. 11(1), 111 (2014)
Medical devices. Recognized essential principles of safety and performance of medical devices. BS ISO 16142-2 (2015)
Stewart, B.: Medicine Ball Workouts Strengthen Major and Supporting Muscle Groups for Increased Power, Coordination, and Core Stability. Ulysses Press, United States (2013)
Cordasco, F.A., Wolfe, I.N., Wootten, M.E., Bigliani, L.U.: An electromyographic analysis of the shoulder during a medicine ball rehabilitation program. Am. J. Sports Med. 24, 386–392 (1996)
Hemalatha, C., Muruganand, S., Maheswaran, R.: A survey on real time object detection, tracking and recognition in image processing. Int. J. Comput. Appl. 91(16), 38–41 (2014)
Wang, Q, Gao, Z Study on a real-time object tracking system. In: International Symposium on Computer Science and Computational Technology, ISCSCT 2008, p. 2 (2008)
Microsoft. Kinect v2. https://www.xbox.com/en-US/xbox-one/accessories/kinect. Accessed 27 Mar 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Cafolla, D. (2019). A 3D Visual Tracking Method for Rehabilitation Path Planning. In: Carbone, G., Ceccarelli, M., Pisla, D. (eds) New Trends in Medical and Service Robotics. Mechanisms and Machine Science, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-030-00329-6_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-00329-6_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00328-9
Online ISBN: 978-3-030-00329-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)