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A Videonystagmography Device Using a Commercial Webcam

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Biomedical Engineering Aims and scope

We propose here a method and device for videonystagmography using webcams and computer vision algorithms. A prototype of the device is presented, its technical characteristics and settings are described, and a mathematical model and software for analyzing the webcam video stream and calculating measurement results are developed. The accuracy of the measurements obtained is investigated. This work resulted in the development of a device with measurement accuracy higher than that of commercial analogs.

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References

  1. Gandor, F., Tesch, M., and Neuhauser, H., "Diagnostic accuracy of a smartphone bedside test to assess the fixation suppression of the vestibulo-ocular reflex: When nothing else matters," J. Neurol., 267, 2159–2163 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kang, S. and Kim, U. S., "Normative data of videonystagmography in young healthy adults under 40 years old," Korean J. Ophthalmology, 29, No. 2, 126–130 (2015).

    Article  Google Scholar 

  3. Doettl, S. M. and McCaslin, D. L., "Oculomotor assessment in children,” Semin. Hear., 39, No. 3, 275–287 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Miles, R. D. and Zapala, D. A., "Vestibular function measurement devices,” Semin. Hear., 36, No. 1, 49–74 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Adwan, S. and Arof, H., "Modified integral projection method for eye detection using dynamic time warping," Int. J. Innov. Comput. Inform. Control, 8, No. 1, 187–200 (2012).

    Google Scholar 

  6. Rachel, A., Anjul, P., David, L., and Joohwan, K., "Latency requirements for foveated rendering in virtual reality," ACM Trans. Appl. Percept., 14, No. 25, 7–25 (2017).

    Google Scholar 

  7. Fedtsov, A. V. and Semichevskaya, N. P., "Simulation of the computational processes for solving the problems of recognizing the position of the pupil of the human eye on video streams using parallel computing technologies," in: Experimental and Theoretical Research in Contemporary Science. Proceedings of XXXVIII International Scientific and Applied Conference [in Russian], No. 8 (34), 11–15 (2019).

  8. Wetzstein, G., "A personalized VR/AR system that adapts to the user is crucial to deliver the best possible experience," The BRIDGE, 46, No. 4, 1034–1048 (2016).

    Google Scholar 

  9. Tapani, L., "Diffractive optics for virtual displays. Society for Image Display," J. Soc. Inform. Displ., 14, No. 5, 419–514 (2006).

    Google Scholar 

  10. Liangliang, N., Xie, K., and Sharf, A., "A Search-classify approach for cluttered indoor scene understanding," ACM, 56, No. 12, 329–346 (2014).

    Google Scholar 

  11. Wang, X.-Y., Zhdanov, D. D., Potemin, I. S., Y. Wang, and H. Cheng, "The efficient model to define a single light source position by use of high dynamic range image of 3D scene," Proc. SPIE, Vol. 10020. Optoelectronic Imaging and Multimedia Technology IV (2016).

  12. Zhdanov, D. D., Potemin, I. S., Kishalov, A. A., and Zhdanov, A. D., "Stochastic ray tracing methods in problems of photorealistic image synthesis for augmented reality systems," in: Proc. 27th International Conference on Computer Graphics and Machine Vision, No. 27, 42–46 (2018).

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Correspondence to I. E. Eremin.

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Translated from Meditsinskaya Tekhnika, Vol. 57, No. 2, March–April, 2023, pp. 29–32.

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Eremin, I.E., Fedtsov, A.V., Shova, N.I. et al. A Videonystagmography Device Using a Commercial Webcam. Biomed Eng 57, 116–120 (2023). https://doi.org/10.1007/s10527-023-10281-z

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  • DOI: https://doi.org/10.1007/s10527-023-10281-z

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