The high accuracy is due to the fact that the visual and somatosensory information can interact and complement each other at an early stage before carrying out complex interpretation.

Researchers from Nanyang Technological University have developed an artificial intelligence system able to recognize gestures more accurately, through the use of wearable strain sensors.

The strain sensor far exceeds previous wearable devices, such as fitness wristwatches or gloves, by being much thinner and flexible. NTU scientists are able to receive data on skin senses and vision, which they then input into a neural network for processing.

#artificial intelligence technologies #artificial intelligence #computer vision #robotics

Researchers Improve Robot Gesture Recognition With Computer Vision
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