Related Experiment Video
Updated: Apr 15, 2026

09:41
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
Published on: April 21, 2023
2.4K
Workspace Shape and Characteristics for Human Two- and Three-Fingered Precision Manipulation.
IEEE Transactions on Bio-Medical Engineering
|April 4, 2015
Summary
This study quantifies precision manipulation workspaces, revealing that fingertip use, particularly the index finger, significantly predicts object manipulation range for tasks like writing and surgery.
Area of Science:
- Biomechanics
- Human Factors Engineering
- Robotics
Background:
- Precision manipulation is crucial for daily activities (writing, key insertion) and specialized tasks (surgery, soldering).
- Understanding fingertip workspace is essential for designing assistive devices and prosthetics.
Purpose of the Study:
- To quantify the workspace and shape of precision manipulation tasks.
- To investigate the role of different finger configurations (two-finger vs. three-finger) in object manipulation.
- To identify key predictors of object workspace during precision tasks.
Main Methods:
- 19 participants manipulated a 3.3-4.1 cm object using two-finger (thumb-index) and three-finger (thumb-index-middle) conditions.
- Object positions were tracked using a magnetic tracker.
- Workspace volumes were normalized to hand length (17.5 cm).
Main Results:
- Precision manipulation workspaces are significantly smaller than free-finger trajectories.
- The three-finger condition exhibited a narrower workspace distribution (68% within 0.94 cm, 95% within 2.19 cm) compared to the two-finger condition (68% within 1.05 cm, 95% within 2.31 cm).
- Index fingertip workspace volume was the strongest linear predictor of object workspace (R² = 0.98).
Conclusions:
- The study defines the size and shape of precision manipulation workspaces.
- It elucidates how different finger configurations influence manipulation capabilities.
- Findings provide normative data for rehabilitation, ergonomic design, and robotic/prosthetic benchmarking.

