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Chinese scientists give fake limbs helping hand by using AI
The AI system uses machine learning with sensors and a camera to guide grip strength, aiming to help thousands of prosthetic users perform daily tasks more naturally.
- Researchers in China developed an object-identification system for prosthetic hands that guides grip strength in real time, published in Nanotechnology and Precision Engineering.
- Because EMG cannot indicate required force, thousands of people with prosthetic hands struggle with complex calibration to tune grip strength for daily tasks.
- A palm-mounted camera and fingertip pressure sensors captured data from a can, egg and USB stick while the team measured grip strength and trained a machine-learning object-identification model.
- The research team plans to integrate haptic feedback to provide intuitive sensation and two-way communication, enabling users to pick up fragile items like an egg without consciously calculating force.
- Vision-Based estimation positions the system as essential since over 90% of everyday items composition includes pens, cups, keys, and eggs, and researchers said they offload force estimation to a vision system.
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13 Articles
13 Articles
Machine Learning Lends a Helping ‘Hand’ to Prosthetics
One of the primary challenges with prosthetic hands is the ability to properly tune the appropriate grip based on the object being handled. In Nanotechnology and Precision Engineering, researchers in China have developed an object identification system for prosthetic hands to guide appropriate grip strength decisions in real time.
·Charlottesville, United States
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Leaning Left3Leaning Right2Center2Last UpdatedBias Distribution43% Left
Bias Distribution
- 43% of the sources lean Left
43% Left
L 43%
C 29%
R 28%
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