Literature DB >> 32859295

Motion tracking in developmental research: Methods, considerations, and applications.

Johanna E van Schaik1, Nadia Dominici2.   

Abstract

In this chapter, we explore the use of motion tracking methodology in developmental research. With motion tracking, also called motion capture, human movements can be precisely recorded and analyzed. Motion tracking provides developmental researchers with objective measurements of motor and (socio-)cognitive development. It can further be used to create carefully-controlled stimuli videos and can offer means of measuring development outside of the lab. We discuss three types of motion tracking that lend themselves to developmental applications. First, marker-based systems track optical or electromagnetic markers or sensors placed on the body and offer high accuracy measurements. Second, markerless methods entail image processing of videos to track the movement of bodies without participants being hindered by physical markers. Third, inertial motion tracking measures three-dimensional movements and can be used in a variety of settings. The chapter concludes by examining three example topics from developmental literature in which motion tracking applications have contributed to our understanding of human development.
© 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Developmental populations; Image processing; Inertial; Marker-based; Markerless; Motion capture; Motion tracking

Mesh:

Year:  2020        PMID: 32859295     DOI: 10.1016/bs.pbr.2020.06.007

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  3 in total

1.  Core Sets of Kinematic Variables to Consider for Evaluation of Gait Post-stroke.

Authors:  Heidi Nedergård; Lina Schelin; Dario G Liebermann; Gudrun M Johansson; Charlotte K Häger
Journal:  Front Hum Neurosci       Date:  2022-02-24       Impact factor: 3.169

2.  A low-cost stand-alone platform for measuring motor behavior across developmental applications.

Authors:  Andrea Cavallo; Nathan C Foster; Karthikeyan Kalyanasundaram Balasubramanian; Andrea Merello; Giorgio Zini; Marco Crepaldi; Cristina Becchio
Journal:  iScience       Date:  2021-06-17

3.  Wearable Sensor Clothing for Body Movement Measurement during Physical Activities in Healthcare.

Authors:  Armands Ancans; Modris Greitans; Ricards Cacurs; Beate Banga; Artis Rozentals
Journal:  Sensors (Basel)       Date:  2021-03-16       Impact factor: 3.576

  3 in total

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