Multisensory Evaluation of Muscle Activity and Human Manipulability during Upper Limb Motor Tasks
Jose M Lopez-Castellanos1,2, Jose L Ramon1, Jorge Pomares1
1Human Robotics Group, University of Alicante, 03690 San Vicente del Raspeig, Spain.
Biosensors
|July 28, 2023
Summary
Human arm manipulability decreases in extreme poses, with no clear link to average muscle activity from surface electromyography (sEMG). Advanced techniques may reveal indirect correlations for rehabilitation and ergonomics.
Area of Science:
- Biomechanics
- Human-Computer Interaction
- Neuroscience
Background:
- Understanding human movement capabilities is crucial for robotics, ergonomics, and rehabilitation.
- Quantifying human manipulability and its relationship with underlying muscle activity provides insights into motor control.
Purpose of the Study:
- To investigate the correlation between human manipulability indices and muscular factors derived from surface electromyography (sEMG).
- To explore the relationship between upper limb joint movements (shoulder, elbow, wrist) and pose manipulability.
- To assess the utility of EMG metrics for evaluating movement sequences in rehabilitation and occupational settings.
Main Methods:
- Utilized motion sensing cameras to capture human manipulability indices.
- Extracted muscular factors from surface electromyography (sEMG) signals during upper limb movements.
- Analyzed EMG metrics to understand muscular effort distribution during exercises.
Main Results:
- Identified specific links between upper limb movements and manipulability, with reduced manipulability at extreme joint angles (fully extended/flexed).
- Found no clear correlation between average sEMG activity and manipulability factors, suggesting an indirect relationship.
- Highlighted the potential of advanced deep learning techniques to uncover subtle correlations.
Conclusions:
- Human manipulability is sensitive to joint configurations, diminishing at kinematic extremes.
- Direct correlation between average muscle activation and manipulability is limited, implying complex neural control.
- EMG metrics offer potential for objective assessment of movement quality in therapeutic and occupational contexts.
