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Updated: Jun 10, 2026
07:25
An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
Published on: February 12, 2018
Movement times of different arm components
Errol R Hoffmann1, Michael C Hui
1Department of Mechanical Engineering, University of Melbourne, Victoria, Australia. erroldot@netconnect.com.au
Ergonomics
|July 27, 2010
Summary
Movement time for arm components scales with movement amplitude and limb inertia in ballistic tasks. Visually controlled movements show complex interactions, impacting manual assembly task optimization.
Area of Science:
- Human-Computer Interaction
- Biomechanics
- Ergonomics
Background:
- Understanding human movement is crucial for optimizing interaction tasks.
- Different arm components possess unique biomechanical properties affecting movement speed.
- Existing models describe ballistic movements but may not fully capture visually guided actions.
Purpose of the Study:
- To investigate the movement times of various arm components during ballistic and visually controlled tasks.
- To evaluate the applicability of theoretical models to different arm movements.
- To identify factors influencing movement time in manual assembly and related activities.
Main Methods:
- Collected movement time data for finger, wrist, forearm, and full-arm components.
- Analyzed data using theoretical models relating movement time to amplitude and limb inertia.
- Examined visually controlled movements in relation to Fitts' Index of Difficulty and arm component.
Main Results:
- Ballistic movement times strongly supported a linear relationship with the square-root of amplitude.
- Limb mass moment of inertia significantly influenced ballistic movement times.
- Visually controlled movements exhibited a significant interaction between Fitts' Index of Difficulty and arm component, complicating simple modeling.
Conclusions:
- Arm component and its properties (inertia) are key determinants of ballistic movement time.
- Visually guided movements are more complex, with arm component effects being more pronounced.
- Findings are relevant for designing efficient manual assembly processes and understanding human motor control.
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