Development of an Assessment System for Camera-Based Motion Analysis
Descrizione riassuntiva dello studio
In the rehabilitation of children and adolescents with neurological issues, more precise and objective measurement methods are increasingly being used. For this purpose, we have developed a method to capture movements in 3D. We have conducted initial studies that show that the motion capture is quite accurate. Now we want to know how to best evaluate the data. We aim to try different methods to determine these measurements. Then we want to find the best method. We test healthy children, adolescents, and young adults as well as patients. Participants will perform various tasks (e.g., sitting upright and extending both arms forward, leaning the upper body forward, sitting or lying still). The tasks come from tests that assess trunk control or dyskinesia, which is a movement disorder characterized by involuntary muscle movements and spasms. Everything is filmed with a special camera. Afterwards, we will test different methods to evaluate the movements.
(BASEC)
Intervento studiato
We use a single RGB-D camera (Red-Green-Blue and Depth), namely the Kinect camera (Azure Kinect Developer Kit or AKDK) [Microsoft2024] or the technically identical Orbbec Femto Bolt [Orbbec2024]. These cameras are cost-effective, portable, and provide 3D information about the scene, thus having the potential to enable high-quality 3D motion tracking with a single camera. We have developed a method for tracking 3D full-body movements of children using a single RGB-D camera, referred to as SMPLify-KiDS. In this study, we will investigate how meaningful and psychometrically sound measurements for outcomes can be derived from these recordings.
(BASEC)
Malattie studiate
e.g., cerebral palsy, traumatic brain injury, stroke
(BASEC)
- able to follow simple instructions and comply with the protocol requirements - able to communicate discomfort, pain, and the need for a break - verbal consent for participation from children under 14 years (in addition to parental consent) or informed consent signed by a legal representative, as well as from adolescents aged 14 or older and young adults (BASEC)
Criteri di esclusione
- for healthy participants: any musculoskeletal, cardiovascular, or neurological diagnosis - behavioral diagnoses such as autism, attention deficit disorder (ADD), attention deficit hyperactivity disorder (ADHD) (BASEC)
Luogo dello studio
Zurigo
(BASEC)
Sponsor
Hubertus van Hedel, Sponsor-Investigator Swiss Children's Rehab, University Children's Hospital Zurich
(BASEC)
Contatto per ulteriori informazioni sullo studio
Persona di contatto in Svizzera
Hubertus van Hedel
+41 44 762 52 91
hubertus.vanhedel@clutterkispi.uzh.chSwiss Children's Rehab, University Children's Hospital Zurich Mühlebergstrasse 104 8910 Affoltern am Albis
(BASEC)
Informazioni scientifiche
non disponibile
Nome del comitato etico approvante (per studi multicentrici solo il comitato principale)
Commissione etica Zurigo
(BASEC)
Data di approvazione del comitato etico
19.08.2025
(BASEC)
ID di studio ICTRP
non disponibile
Titolo ufficiale (approvato dal comitato etico)
Developing outcome metrics from markerless RGB-D motion tracking data for motion analysis (BASEC)
Titolo accademico
non disponibile
Titolo pubblico
non disponibile
Malattie studiate
non disponibile
Intervento studiato
non disponibile
Tipo di studio
non disponibile
Disegno dello studio
non disponibile
Criteri di inclusione/esclusione
non disponibile
non disponibile
Endpoint primari e secondari
non disponibile
non disponibile
Data di registrazione
non disponibile
Inclusione del primo partecipante
non disponibile
Sponsor secondari
non disponibile
Contatti aggiuntivi
non disponibile
ID secondari
non disponibile
Risultati-Dati individuali dei partecipanti
non disponibile
Ulteriori informazioni sullo studio
non disponibile
Risultati dello studio
Riepilogo dei risultati
non disponibile
Link ai risultati nel registro primario
non disponibile