Problem
Research questions and friction points this paper is trying to address.
myoelectric prosthesis
sensorless object detection
vibrotactile feedback
biomimetic design
EMG control
A Biomimetic Myoelectric Tentacle Prosthesis with Sensorless Object Detection and Vibrotactile Feedback
🤖 AI Summary
This study addresses the limitations of existing prostheses in adaptively grasping unstructured objects and providing intuitive sensory feedback. The authors propose a biomimetic myoelectric tentacle prosthesis that departs from conventional anthropomorphic designs by employing a soft logarithmic spiral actuation mechanism, enabling intuitive control via electromyographic signals. Innovatively, contact detection is achieved without dedicated sensors by analyzing motor current slopes, while a cumulative vibrotactile feedback system conveys spatial configuration information to the user. Experimental results demonstrate a mean system response time of 77 milliseconds and over 90% success rate in object contact detection. Users accurately identified the tentacle’s folded states, confirming the prosthesis’s notable advantages in real-time performance, robustness, and feedback efficacy.
📝 Abstract
This paper presents the design and evaluation of a myoelectric tentacle-shaped prosthesis integrating electromyographic (EMG) control, sensorless object detection, and vibrotactile feedback. The objective was to develop a responsive and intuitive assistive device that adapts to various object shapes while providing sensory feedback to the user. The system relies on EMG signals to control the motion of a flexible, biomimetic structure whose curling geometry follows a logarithmic spiral, enabling it to coil around objects. To ensure stable control, the EMG signal is normalized and filtered, and a threshold-based method identifies user intention. Object contact is detected through a slope-based analysis of motor current, eliminating the need for external sensors, and a haptic feedback strategy based on cumulative vibrotactile stimulation conveys spatial information about the tentacle's configuration. The system was evaluated through quantitative and qualitative tests. The results demonstrate a low response time (77 ms on average), enabling smooth real-time interaction; an object-detection success rate above 90%, confirming robustness despite EMG variability; and an effective haptic feedback strategy that allowed users to reliably identify the folding zone of the tentacle. The proposed biomimetic design promotes further investigation of expressive artificial limbs by prioritizing expressive functionality over adherence to a predefined, anthropomorphic form factor.
Innovation
Methods, ideas, or system contributions that make the work stand out.
sensorless object detection
vibrotactile feedback
myoelectric control
biomimetic prosthesis
logarithmic spiral actuation
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