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Updated: Jun 19, 2026

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Published on: August 8, 2011
Human impedance modulation to improve visuo-haptic perception
Xiaoxiao Cheng1,2, Shixian Shen1, Ekaterina Ivanova1,3
1Department of Bioengineering, Imperial College of Science Technology and Medicine, London, United Kingdom.
Humans adapt muscle activation to optimize sensory information for environmental interaction. Muscle coactivation increases with haptic noise but decreases with visual noise, balancing information gain and effort.
Area of Science:
- Human motor control
- Sensory integration
- Robotics
Background:
- Humans actively control muscle activation to interact with their environment.
- The role of muscle activation in sensing environmental properties remains unclear.
Purpose of the Study:
- To investigate how muscle activation adapts to visual and haptic information during target tracking.
- To understand if humans optimize sensory input for better environmental perception.
Main Methods:
- Participants tracked a random target using a robotic interface.
- Muscle activation patterns were analyzed in response to varying visual and haptic noise levels.
Main Results:
- Muscle coactivation increased with haptic noise and decreased with visual noise.
- This pattern suggests a strategy to regulate motion guidance and filter sensory noise.
- Results align with a model optimizing visuo-haptic information and effort.
Conclusions:
- Muscle activation serves an active sensing role, adapting to optimize sensory information intake.
- The optimal information and effort (OIE) model explains adaptive muscle activity in human-environment interaction.
- Findings can inform the design of human-robot interaction systems.
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