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  • A new median filter application to deal with large windows of missing data in eye-gaze measurements [Elektronski vir]
    Gucciardi, Arnaud ...
    Eye-hand coordination is a challenging skill to measure objectively, especially in children with motor disabilities such as Cerebral Palsy (CP). The recent development of robotic technology provides ... noninvasive tools for the simultaneous acquisition of eye and hand movement data. One such technology is the remote eye-tracking and virtual-reality systems namely the Kinarm Gaze-TrackerTM installed in the Kinarm ExoskeletonTM. Unfortunately, no standard software interface exists to extract the data contained in the Kinarm proprietary files for an efficient further analysis in common programming languages such as Python. Additionally, in the standard Kinarm reports only hand movements parameters are available, while eye movements are only stored as raw data files. These limitations lead to difficulties in performing a complete analysis of eye-hand coordination in research settings. Additional problems can arise in the case of missing data (due to loss of tracking). The software described in this paper allows the extraction of the hands and eye-gaze time series for efficient further analysis directly from the raw data. Furthermore, a study of the distribution of missing data is presented. Finally, this paper describes a revised median filter application to deal with large windows of missing data.
    Vir: DETERMINED 2022 [Elektronski vir] : Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children - Computational Advancements (DETERMINED 2022) Ljubljana, Slovenia, August 26, 2022 (Str. 1-17)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2022
    Jezik - angleški
    COBISS.SI-ID - 147302403

    Povezava(-e):

    https://ceur-ws.org/Vol-3363/paper01.pdf

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