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Balance Clinical Measurement Using RGBD Devices

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Articulated Motion and Deformable Objects (AMDO 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9756))

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Abstract

RGBD capture devices have been proven as an ICT realistic approach for clinical prevention of falls. RGBD devices facilitate the capture of human movement and are known because of its low cost. According to that, its use is widespread and has been validated in different interactive applications for balance rehabilitation. In this type of rehabilitation, it is very important to have information on clinical patient outcomes. Moreover, it would be helpful to use RGBD devices in case the patient performs the rehabilitation treatment at home because the physiotherapist could use the RGBD devices to assess the balance. This paper demonstrates that the Microsoft Kinect device is reliable and adequate to calculate the standard functional reach test (FRT); one of the most widely used balance clinical measurements. To do so, an experiment was performed on 14 healthy users to compare the FRT calculation manually and using a RGBD device. The results show an average absolute difference of 2.84 cm (\(\pm 2.62\)), and there are no statistically significant differences applying a paired t-student test for the data.

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Acknowledgments

This work was partially funded by European commission under Alyssa Program (ERASMUS-MUNDUS action 2 lot 6), by the Projects TIN2012-35427 and TIN2015-67149-C3-2-R of the Spanish Government, with FEDER support. The authors also thank the Mathematics and Computer Science Department at the University of the Balearic Islands for its support.

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Authors and Affiliations

  1. GresCom Lab. Ecole Supérieure des Communications de Tunis, Université de Carthage, Tunis, Tunisia

    Ines Ayed & Adel Ghazel

  2. Unitat de Gràfics, Visió i Intel.ligència Artificial. Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears, Palma, Spain

    Ines Ayed, Biel Moyà-Alcover, Javier Varona & Antoni Jaume-i-Capó

  3. Grupo de Investigación en Evidencia, Estilos de Vida y Salud. Departamento de Enfermería y Fisioterapia, Universitat de les Illes Balears, Palma, Spain

    Pau Martínez-Bueso

Authors
  1. Ines Ayed
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  2. Biel Moyà-Alcover
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  3. Pau Martínez-Bueso
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  4. Javier Varona
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  5. Adel Ghazel
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  6. Antoni Jaume-i-Capó
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Corresponding author

Correspondence to Antoni Jaume-i-Capó .

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Editors and Affiliations

  1. UIB-Universitat de les Illes Balears, Palma de Mallorca, Spain

    Francisco José Perales

  2. University of Surrey, Guildford, United Kingdom

    Josef Kittler

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© 2016 Springer International Publishing Switzerland

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Ayed, I., Moyà-Alcover, B., Martínez-Bueso, P., Varona, J., Ghazel, A., Jaume-i-Capó, A. (2016). Balance Clinical Measurement Using RGBD Devices. In: Perales, F., Kittler, J. (eds) Articulated Motion and Deformable Objects. AMDO 2016. Lecture Notes in Computer Science(), vol 9756. Springer, Cham. https://doi.org/10.1007/978-3-319-41778-3_13

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  • DOI: https://doi.org/10.1007/978-3-319-41778-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41777-6

  • Online ISBN: 978-3-319-41778-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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