Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters











Database
Language
Publication year range
1.
J Mot Behav ; 49(6): 593-602, 2017.
Article in English | MEDLINE | ID: mdl-28010182

ABSTRACT

Fundamental movement skill (FMS) assessment remains an important tool in classifying individuals' level of FMS proficiency. The collection of FMS performances for assessment and monitoring has remained unchanged over the last few decades, but new motion capture technologies offer opportunities to automate this process. To achieve this, a greater understanding of the human process of movement skill assessment is required. The authors present the rationale and protocols of a project in which they aim to investigate the visual search patterns and information extraction employed by human assessors during FMS assessment, as well as the implementation of the Kinect system for FMS capture.


Subject(s)
Mental Processes , Motor Skills/physiology , Research Design , Video Recording/methods , Visual Perception , Child , Child, Preschool , Eye Movements/physiology , Female , Humans , Machine Learning , Male
SELECTION OF CITATIONS
SEARCH DETAIL