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Video-based motion capture smartphone applications for testing human motor performance skills: A scoping review

Zoeller, Clara Sophia ORCID iD icon 1; Niessner, Claudia ORCID iD icon 1; Fleps, Manuel 1; Klein, Thorsten 1; Hanssen-Doose, Anke 1; Burchartz, Alexander ORCID iD icon 1; Woll, Alexander ORCID iD icon 1; Stein, Thorsten 1
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)

Abstract:

Background: Good motor performance skills (MPS) are relevant in all stages of life. Higher MPS are associated with enhanced cognitive abilities and physical and mental health. The assessment of MPS is important to identify deficits in MPS at an early stage and to implement interventions to address these deficits. One method to assess MPS is through marker-based motion capture in a laboratory setting with multiple cameras. However, this approach is expensive and time-consuming, making it impractical, for example, in large-scale studies for MPS assessment. Recent advancements (eg, artificial intelligence) in technology (eg, smartphone cameras) have opened up innovative solutions for various challenges (eg, testing large sample sizes). A potential solution is using video-based smartphone apps to assess MPS through markerless motion capture with a single camera.

Objective: The objectives of this scoping review were to summarize existing smartphone apps designed to digitally assess MPS through motion capture, identify the target population of the apps, determine whether the apps have been validated, and summarize the specific MPS that were assessed.
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Verlagsausgabe §
DOI: 10.5445/IR/1000189667
Veröffentlicht am 04.03.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 19.02.2026
Sprache Englisch
Identifikator ISSN: 2291-5222
KITopen-ID: 1000189667
Erschienen in JMIR mHealth and uHealth
Verlag JMIR Publications
Band 14
Seiten Art.-Nr.: 65474
Vorab online veröffentlicht am 16.08.2024
Schlagwörter Smartphone app, motion capture, motor performance skills, motor assessment, automated video assessment, AI-based motion capture, kinematics, artificial intelligence, mobile health, scoping review, physical health, mental health, neurological illnesses, healthy adults, older, athletes
Nachgewiesen in Web of Science
Scopus
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