Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors
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  • 作者:Miguel Oliver ; Francisco Montero…
  • 关键词:Kinect sensor ; Rehabilitation system ; Capture precision ; Multi ; camera system
  • 刊名:Frontiers of Information Technology & Electronic Engineering
  • 出版年:2016
  • 出版时间:April 2016
  • 年:2016
  • 卷:17
  • 期:4
  • 页码:348-364
  • 全文大小:1,615 KB
  • 参考文献:Bonnechère, B., Jansen, B., Salvia, P., et al., 2014. Determination of the precision and accuracy of morphological measurements using the KinectTM sensor: comparison with standard stereophotogrammetry. Ergonomics, 57(4):622–631. http://​dx.​doi.​org/​10.​1080/​00140139.​2014.​884246CrossRef
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    Essmaeel, K., Gallo, L., Damiani, E., et al., 2012. Temporal denoising of Kinect depth data. Proc. 8th Int. Conf. on Signal Image Technology and Internet Based Systems, p.47–52. http://​dx.​doi.​org/​10.​1109/​SITIS.​2012.​18
    Essmaeel, K., Gallo, L., Damiani, E., et al., 2014. Comparative evaluation of methods for filtering Kinect depth data. Multim. Tools Appl., 74(17):7331–7354. http://​dx.​doi.​org/​10.​1007/​s11042-014-1982-6CrossRef
    Fernández-Baena, A., Susín, A., Lligadas, X., 2012. Biomechanical validation of upper-body and lower-body joint movements of Kinect motion capture data for rehabilitation treatments. Proc. 4th Int. Conf. on Intelligent Networking and Collaborative Systems, p.656–661. http://​dx.​doi.​org/​10.​1109/​iNCoS.​2012.​66
    Freitas, D., da Gama, A., Figueiredo, L., et al., 2012. Development and evaluation of a Kinect based motor rehabilitation game. Proc. SBGames, p.144–153.
    Gonzalez-Jorge, H., Riveiro, B., Vazquez-Fernandez, E., et al., 2013. Metrological evaluation of Microsoft Kinect and Asus Xtion sensors. Measurement, 46(6):1800–1806. http://​dx.​doi.​org/​10.​1016/​j.​measurement.​2013.​01.​011CrossRef
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    Khoshelham, K., Elberink, S.O., 2012. Accuracy and resolution of Kinect depth data for indoor mapping applications. Sensors, 12(2):1437–1454. http://​dx.​doi.​org/​10.​3390/​s120201437CrossRef
    Mallick, T., Das, P.P., Majumdar, A.K., 2014. Characterizations of noise in Kinect depth images: a review. IEEE Sens. J., 14(6):1731–1740. http://​dx.​doi.​org/​10.​1109/​JSEN.​2014.​2309987CrossRef
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    Olesen, S.M., Lyder, S., Kraft, D., et al., 2015. Real-time extraction of surface patches with associated uncertainties by means of Kinect cameras. J. Real-Time Image Process., 10(1):105–118. http://​dx.​doi.​org/​10.​1007/​s11554-012-0261-xCrossRef
    Oliver, M., Molina, J.P., Montero, F., et al., 2014a. A multisensor system for positioning of multiple users. Proc. XV Int. Conf. on Human Computer Interaction, Article 59. http://​dx.​doi.​org/​10.​1145/​2662253.​2662312
    Oliver, M., Molina, J.P., Montero, F., et al., 2014b. Wireless multisensory interaction in an intelligent rehabilitation environment. Proc. 5th Int. Symp. on Ambient Intelligence, p.193–200. http://​dx.​doi.​org/​10.​1007/​978-3-319-07596-9_​21
    Oliver, M., Montero, F., Molina, J.P., et al., 2015a. How many Kinects should look at you? A multi-agent system approach. Proc. 13th Int. Conf. on Practical Applications of Agents and Multi-Agent Systems, p.105–112. http://​dx.​doi.​org/​10.​1007/​978-3-319-19629-9_​12
    Oliver, M., Montero, F., Fernández-Caballero, A., et al., 2015b. RGB-D assistive technologies for acquired brain injury: description and assessment of user experience. Expert Syst., 32(3):370–380. http://​dx.​doi.​org/​10.​1111/​exsy.​12096CrossRef
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  • 作者单位:Miguel Oliver (1)
    Francisco Montero (2)
    José Pascual Molina (2)
    Pascual González (2)
    Antonio Fernández-Caballero (2)

    1. Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, Albacete, 02071, Spain
    2. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, Albacete, 02071, Spain
  • 刊物类别:Computer Science, general; Electrical Engineering; Computer Hardware; Computer Systems Organization
  • 刊物主题:Computer Science, general; Electrical Engineering; Computer Hardware; Computer Systems Organization and Communication Networks; Electronics and Microelectronics, Instrumentation; Communications Engine
  • 出版者:Zhejiang University Press
  • ISSN:2095-9230
文摘
This paper seeks to determine how the overlap of several infrared beams affects the tracked position of the user, depending on the angle of incidence of light, distance to the target, distance between sensors, and the number of capture devices used. We also try to show that under ideal conditions using several Kinect sensors increases the precision of the data collected. The results obtained can be used in the design of telerehabilitation environments in which several RGB-D cameras are needed to improve precision or increase the tracking range. A numerical analysis of the results is included and comparisons are made with the results of other studies. Finally, we describe a system that implements intelligent methods for the rehabilitation of patients based on the results of the tests carried out.

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