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. 2024 Aug 6:7:e52582.
doi: 10.2196/52582.

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Julian Jeyasingh-Jacob  1   2 , Mark Crook-Rumsey  2   3 , Harshvi Shah  1   2 , Theresita Joseph  1   2 , Subati Abulikemu  1   2 , Sarah Daniels  1   2 , David J Sharp  1   2 , Shlomi Haar  1   2
Affiliations

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Julian Jeyasingh-Jacob et al. JMIR Aging. .

Abstract

Background: Markerless motion capture (MMC) uses video cameras or depth sensors for full body tracking and presents a promising approach for objectively and unobtrusively monitoring functional performance within community settings, to aid clinical decision-making in neurodegenerative diseases such as dementia.

Objective: The primary objective of this systematic review was to investigate the application of MMC using full-body tracking, to quantify functional performance in people with dementia, mild cognitive impairment, and Parkinson disease.

Methods: A systematic search of the Embase, MEDLINE, CINAHL, and Scopus databases was conducted between November 2022 and February 2023, which yielded a total of 1595 results. The inclusion criteria were MMC and full-body tracking. A total of 157 studies were included for full-text screening, out of which 26 eligible studies that met the selection criteria were included in the review. .

Results: Primarily, the selected studies focused on gait analysis (n=24), while other functional tasks, such as sit to stand (n=5) and stepping in place (n=1), were also explored. However, activities of daily living were not evaluated in any of the included studies. MMC models varied across the studies, encompassing depth cameras (n=18) versus standard video cameras (n=5) or mobile phone cameras (n=2) with postprocessing using deep learning models. However, only 6 studies conducted rigorous comparisons with established gold-standard motion capture models.

Conclusions: Despite its potential as an effective tool for analyzing movement and posture in individuals with dementia, mild cognitive impairment, and Parkinson disease, further research is required to establish the clinical usefulness of MMC in quantifying mobility and functional performance in the real world.

Keywords: Parkinson's disease; body tracking; clinical decision making; decision; decision making; dementia; markerless motion capture; mild cognitive impairment; mobility; monitoring; motion; motion analysis; movement; movement analysis; neurodegeneration; neurodegenerative; neurodegenerative disease; systematic review; tool; tracking.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 flow diagram for new systematic reviews.
See this image and copyright information in PMC

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