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Scientists Fuse Skin-like Electronics With Computer Vision

Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed an AI system that recognises hand gestures by combining skin-like electronics with computer vision.

The recognition of human hand gestures by AI systems has been a valuable development over the last decade and has been adopted in high-precision surgical robots, health monitoring equipment and in gaming systems.

Over the years, AI gesture recognition systems have been improved upon by integrating inputs from wearable sensors.

However, gesture recognition precision is still hampered by the low quality of data, typically due to the bulkiness and poor contact of the wearables with the user, and the effects of visually blocked objects and poor lighting.

To tackle these challenges, the NTU team created a ‘bioinspired’ data fusion system that uses skin-like stretchable strain sensors made from single-walled carbon nanotubes, and an AI approach that resembles the way that the skin senses and vision are handled together in the brain.

The research supports the desire for a smarter and more machine-supported world. Applications for such a technology include exoskeletons for the elderly and entertainment technologies.

Source: electronicsweekly

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