Science & Tech

Successful demonstration of human muscle drone control

Boston: There have been several experiments to control drones with eye gestures and brain signals, and now the latest news is that MIT engineers have successfully demonstrated how to control drones with hand movements and muscle signals. ۔

The experimental system, dubbed “Conduct a Boot”, uses electromyography systems and motion sensors that sense motion. Experimentally, they have been applied to the upper right arm (biceps), lower muscles (triceps) and lower arm.

All the sensors work together to read the movement of the arm and the signal of the arm, the data of which goes to the microprocessor.

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The processor incorporates machine learning algorithms that convert arm signals and various movements into commands for drones. These instructions reach the four-winged drone via wireless and act accordingly.

The drone then automatically understands the gestures of the muscles and adapts them automatically. Now, if the upper arm is tightened, the drone will stop.

When the fist is clenched, the drone moves forward. When the fist is rotated clockwise and counterclockwise, it rotates left and right.

If the fist is rotated from left to right, up and down, the drone also moves to the right and left or up and down. In this way, the drone understood and acted on a total of 1,500 signals with 82% accuracy.

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Any drone can be easily used in this technology and there is no need to train the system for every new person. This will pave the way for the development of robots for the elderly and the disabled.

Joseph del Preto, the lead researcher working on it, says work is underway to make the drone system more efficient and that the general public will soon be able to benefit from the technology.

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