Abstract
A new type of posture tracking for rehabilitation is introduced to deal with the standard digital video image and real-time tracking the object with computer vision method. Impassive infrared marker is introduced to help spatial localization and angle measurement. The tracking accuracy of location is <1 mm and the angle measurement accuracy is <0.05 rad that can meet requirements of rehabilitation exercise instruction. The instrument is developed from commercial binocular camera which has very low price and high reliability.
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
Jongwook, K., Dongjun, S., Dongseok, J.: A study on the control method of 3-dimensional space application using kinect system. Int. J. Comput. Sci. Netw. Secur. 11(3), 55–59 (2011)
Kuehn, T.: The Kinect sensor platform. Adv. Med. Technol. 40(9), 2192–2198 (2011)
Khoshelham, K.: Accuracy and resolution of Kinect depth data for indoor mapping application. Sensors 12(2), 1437–1454 (2012)
Papadopoulos, G.T., Axenopoulos, A., Daras, P.: Real-time skeleton-tracking-based human action recognition using kinect data. Lecture Notes in Computer Science, pp. 473-483. Springer, New York (2014)
Corporation, H.P.: A review on technical and clinical impact of microsoft kinect on physical therapy and rehabilitation. J. Med. Eng. 2014, 846514 (2014)
Arai, K., Asmara, R.A.: Human gait gender classification in spatial and temporal reasoning. Int. J. Adv. Res. Artif. Intell. 1(2), 1–6 (2012)
Moore, B.A., Pita, D., Tyrrell, L.P.: Vision in avian emberizid foragers: maximizing both binocular vision and fronto-lateral visual acuity. J. Exp. Biol. 218(9), 1347–1358 (2015)
Gonzalez, D.A., Niechwiej-Szwedo, E.: The effects of monocular viewing on hand-eye coordination during sequential grasping and placing movements. Vis. Res. 128, 30 (2016)
Park, S.W., Park, H.S., Kim, J.H.: 3D displacement measurement model for health monitoring of structures using a motion capture system. Measurement 59, 352–362 (2015)
Bujang, K., Nazri, A.F.A., Azam, A.F.A.: Development of a motion capture system using Kinect. Eur. J. Ophthalmol. 76(11), 531–540 (2015)
Jia, Z., Yang, J., Liu, W.: Improved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement system. Opt. Express 23(12), 15205–15223 (2015)
Acknowledgement
The authors acknowledge the support given by Natural Science Foundation of Guangdong Province (2014A030310258), Educational Commission of Guangdong Province (YQ201402) and Guangdong science and technology plan project (2015A020214024).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Mei, Z., Lin, L., Lei, Y., Lan, L., Xianglin, F. (2018). A Binocular Vision Motion Capture System Based on Passive Markers for Rehabilitation. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-319-70990-1_79
Download citation
DOI: https://doi.org/10.1007/978-3-319-70990-1_79
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70989-5
Online ISBN: 978-3-319-70990-1
eBook Packages: EngineeringEngineering (R0)