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International Conference on Intelligent Human Systems Integration

IHSI 2020: Intelligent Human Systems Integration 2020 pp 266–270Cite as

The Quantitative Evaluation of Permanent Disability in Forensic Medicine Through Stereo Photogrammetric Technology

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1131))

Abstract

The aim of this study is the application of a protocol for the objective evaluation of knee joint dysfunction using a stereo photogrammetric marker-based motion capture system. Use this technology allows to obtain quantitative articular kinematics estimates that translate the movement itself as input for subsequent processing. The study involved five subjects: two without lower limb impairments and three with sequelae of knee injuries. The use of a methodology that provides objective and quantitative results allows a more accurate and correct assessment of permanent disability percentage and allows to obtain then a more adequate and fair economic compensation for the suffered damage.

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Author information

Authors and Affiliations

  1. Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy

    Claudia Trignano, Vittorio Dell‘Orfano & Elena Mazzeo

  2. Rehametrics, Valencia, Spain

    Andrea Castelli

  3. Universitat Politecnica de Valencia, Valencia, Spain

    Andrea Castelli

Authors
  1. Claudia Trignano
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  2. Andrea Castelli
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  3. Vittorio Dell‘Orfano
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  4. Elena Mazzeo
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Corresponding author

Correspondence to Claudia Trignano .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Dipartimento Di Ingegneria, Edificio 25, Università di Modena e Reggio Emilia, Modena, Modena, Italy

    Alberto Vergnano

  4. Department of Mechanical and Civil Engineering, University of Modena, Modena, Modena, Italy

    Francesco Leali

  5. GRESPI, Université de Reims Champagne-Ardenne, Reims Cedex 2, France

    Redha Taiar

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Trignano, C., Castelli, A., Dell‘Orfano, V., Mazzeo, E. (2020). The Quantitative Evaluation of Permanent Disability in Forensic Medicine Through Stereo Photogrammetric Technology. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_42

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