RGB-Depth Camera-Based Assessment of Motor Capacity: Normative Data for Six Standardized Motor Tasks

Abstract

Background: Instrumental motion analysis constitutes a promising development in the assessment of motor function in clinical populations affected by movement disorders. To foster implementation and facilitate interpretation of respective outcomes, we aimed to establish normative data of healthy subjects for a markerless RGB-Depth camera-based motion analysis system and to illustrate their use. Methods: We recorded 133 healthy adults (56% female) aged 20 to 60 years with an RGB-Depth camera-based motion analysis system. Forty-three spatiotemporal parameters were extracted from six short, standardized motor tasks—including three gait tasks, stepping in place, standing-up and sitting down, and a postural control task. Associations with confounding factors, height, weight, age, and sex were modelled using a predictive linear regression approach. A z-score normalization approach was provided to improve usability of the data. Results: We reported descriptive statistics for each spatiotemporal parameter (mean, standard deviation, coefficient of variation, quartiles). Robust confounding associations emerged for step length and step width in comfortable speed gait only. Accessible normative data usage was lastly exemplified with recordings from one randomly selected individual with multiple sclerosis. Conclusion: We provided normative data for an RGB depth camera-based motion analysis system covering broad aspects of motor capacity.

Digital Motor Biomarkers of Cerebellar Ataxia Using an RGB-Depth Camera-Based Motion Analysis System

“…Motognosis Labs (Motognosis, https://www.motognosis.com/en/technology/index.html) is a marker-free motion analysis application that uses a commercially available RGB-depth sensor (Microsoft Kinect V2; Microsoft, Redmond, USA), accompanied with customized analytical software to derive functional motor parameters from tasks, including walking, balance, and postural control while standing [17]. The motor tasks used in this system were developed to evaluate motor function in neurological diseases with high reproducibility [17] and have previously been applied and validated in healthy individuals [17,20,21], patients with multiple sclerosis [22,23], and patients with Parkinson's disease [24].…”