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Published on: March 28, 2018
A new tool for assessing human movement: the Kinematic Assessment Tool
Peter R Culmer1, Martin C Levesley, Mark Mon-Williams
1School of Mechanical Engineering, University of Leeds, Leeds, UK.
The Kinematic Assessment Tool (KAT) offers a portable, powerful system for measuring complex human movement and kinematics. This new tool objectively quantifies performance, distinguishing hand preferences in tasks.
Area of Science:
- Neuroscience
- Human Movement Analysis
- Biomechanical Engineering
Background:
- Documenting human behavior necessitates recording human movement, with current methods for capturing complex kinematics being either lab-bound or simplistic.
- Existing tools for measuring human kinematics present a trade-off between accuracy and portability.
- There is a need for a system that combines the precision of laboratory measures with the convenience of portable methods.
Purpose of the Study:
- To introduce the Kinematic Assessment Tool (KAT), a novel system for recording human movement endpoints.
- To demonstrate KAT's capability in measuring complex movements over time in configurable visual-spatial tasks.
- To showcase KAT's utility in quantifying performance with objective, automatically generated measures.
Main Methods:
- Development of the Kinematic Assessment Tool (KAT), a portable system for human movement analysis.
- Utilizing KAT to record endpoint movements during tracing and copying tasks.
- Administering tasks to 12 participants using both preferred and non-preferred hands.
Main Results:
- KAT successfully captured behavior during complex visual-spatial tasks.
- Objective performance measures were automatically generated by the KAT system.
- A single variable derived from KAT measures effectively distinguished performance between preferred and non-preferred hands.
Conclusions:
- The Kinematic Assessment Tool (KAT) provides a powerful yet portable solution for human kinematics research.
- KAT enables objective quantification of complex human movement, offering advantages over existing methods.
- The system's utility is demonstrated by its ability to differentiate hand performance, highlighting its potential in neuroscience and movement analysis.
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