skip to main content
10.1145/3051488.3051505acmotherconferencesArticle/Chapter ViewAbstractPublication PagesrehabConference Proceedingsconference-collections
research-article

Virtual gait analysis tool to test lower limb prosthesis

Published:13 October 2016Publication History

ABSTRACT

Digital Human Modelling (DHM) is becoming a simple way to study the ergonomic behaviour of devices interacting with the human body. In particular, innovative technologies permit to manage big amount of data coming from several IT devices in order to better understand the correlation between technical aspects and human factors. In the medical field DHM can be exploited to combine in a unique application many data types coming from several inputs (e.g. 3D scan, motion capture). In this research work, the attention is focused on the design of lower limb prosthesis around the digital human model of the patient. We present an application, which allows visualizing pressure on patient's limb while evaluating his/her gait in a unique virtual knowledge-guided environment. Such application is conceived to be usable by non IT experts, and all information are directly visualized on the digital human model of the amputee. The first part of the paper describes the platform to design lower limb prosthesis with particular attention on the use of low-cost technologies. Then, the virtual gait analysis tool is described. Finally, tests and conclusion are discussed.

References

  1. S. Bartesaghi and G. Colombo. Knowledge extraction to automate cfd analysis in abdominal aneurysm diagnosis and treatment. International Journal of Information Technology and Management, 13(2--3):176--201, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. S. Bonfanti, A. Gargantini, and A. Vitali. A mobile application for the stereoacuity test. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, pages 315--326. Springer, 2015.Google ScholarGoogle ScholarCross RefCross Ref
  3. D. Brujic, I. Ainsworth, and M. Ristic. Fast and accurate nurbs fitting for reverse engineering. The International Journal of Advanced Manufacturing Technology, 54(5--8):691--700, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  4. G. Colombo, D. Regazzoni, and C. Rizzi. Ergonomic design through virtual humans. Computer-Aided Design and Applications, 10(5):745--755, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  5. C. Comotti, D. Regazzoni, C. Rizzi, and A. Vitali. Multi-material design and 3d printing method of lower limb prosthetic sockets. In Proceedings of the 3rd 2015 Workshop on ICTs for Improving Patients Rehabilitation Research Techniques, REHAB '15, pages 42--45, New York, NY, USA, 2015. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. M. Dou, J. Taylor, H. Fuchs, A. Fitzgibbon, and S. Izadi. 3d scanning deformable objects with a single rgbd sensor. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 493--501. IEEE, 2015.Google ScholarGoogle ScholarCross RefCross Ref
  7. E. E. Hitomi, J. V. Silva, and G. C. Ruppert. 3d scanning using rgbd imaging devices: A survey. In Developments in Medical Image Processing and Computational Vision, pages 379--395. Springer, 2015.Google ScholarGoogle Scholar
  8. T. Huang, C. Kong, H. Guo, A. Baldwin, and H. Li. A virtual prototyping system for simulating construction processes. Automation in Construction, 16(5):576--585, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  9. iPi Motion Capture. http://ipisoft.com/.Google ScholarGoogle Scholar
  10. D. Regazzoni and C. Rizzi. Patients'evaluation based on digital motion acquisition. Computer-Aided Design and Applications, pages 1--8, 2016.Google ScholarGoogle Scholar
  11. Tekscan. https://www.tekscan.com/.Google ScholarGoogle Scholar
  12. A. Vitali and C. Rizzi. A virtual environment to emulate tailor's work. Computer-Aided Design and Applications, (Article in press.):1--9, 2017.Google ScholarGoogle Scholar
  13. X. Ye, H. Liu, L. Chen, Z. Chen, X. Pan, and S. Zhang. Reverse innovative design - an integrated product design methodology. Computer-aided design, 40(7):812--827, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Virtual gait analysis tool to test lower limb prosthesis

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Other conferences
            REHAB '16: Proceedings of the 4th Workshop on ICTs for improving Patients Rehabilitation Research Techniques
            October 2016
            135 pages
            ISBN:9781450347655
            DOI:10.1145/3051488

            Copyright © 2016 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 13 October 2016

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article
          • Article Metrics

            • Downloads (Last 12 months)5
            • Downloads (Last 6 weeks)1

            Other Metrics

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader