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Item Statistics

Development and validation of a novel marker tracking approach based on the low-cost Microsoft Kinect v2 sensor for assessing lower limb biomechanics during single-leg squat and treadmill gait

RepositoryUniversity of Melbourne [Minerva Access]
URLhttp://hdl.handle.net/11343/217279
Author(s)orcid:0000-0001-9831-3344; Timmi, Alessandro
Item typeThesis or Dissertation

Usage Date Range

     

Repository Reporting Period Total Nov-2018 Dec-2018 Jan-2019 Feb-2019 Mar-2019 Apr-2019 May-2019 Jun-2019 Jul-2019 Aug-2019 Sep-2019 Oct-2019 Nov-2019 Dec-2019 Jan-2020 Feb-2020 Mar-2020 Apr-2020 May-2020 Jun-2020 Jul-2020 Aug-2020 Sep-2020 Oct-2020 Nov-2020 Dec-2020 Jan-2021 Feb-2021 Mar-2021 Apr-2021 May-2021 Jun-2021 Jul-2021 Aug-2021 Sep-2021 Oct-2021 Nov-2021 Dec-2021
Overall totals 1616 83 50 158 173 93 69 74 69 71 57 50 45 35 59 96 30 19 3 32 50 18 17 15 28 4 0 0 3 20 13 10 22 9 39 18 18 43 23
University of Melbourne [Minerva Access] 1616 83 50 158 173 93 69 74 69 71 57 50 45 35 59 96 30 19 3 32 50 18 17 15 28 4 0 0 3 20 13 10 22 9 39 18 18 43 23
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