Machine learning enables electronic devices such as electronic gloves and skins to track human hand movements and perform actions such as gestures and object recognition. These devices cannot bend to the shape of the body and remain bulky.
A recent study published in the journal Nature explains how scientists have created a new substance that can be sprayed onto the backs of human hands to track their movements.
The research team created a prototype that can predictably type with both hands on an invisible keyboard and recognize basic things by touch.
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As you move your hand, a tiny electrical network detects stretches and bends in your skin, which artificial intelligence (AI) interprets to identify your movements.
Nanomesh mimics human skin sensors by transducing changes in electrical resistance from minute skin strains into proprioceptive sensations. It is made of biocompatible materials and can be printed directly on the human hand. Due to its low computational cost and easy user implementation, a single nanomesh can measure finger movements from multiple joints at once.
Because the device is sprayed, it can adapt to the size and shape of the hand, and could be used to recognize sign language and objects by manually tracing the outer surface. In the future, his face could also be altered to pick up nuances of emotional cues, opening up new possibilities for his computer animation and virtual meetings.
In addition, a portable Bluetooth module is linked to wirelessly transmit such signal changes while machine learning analyzes them.
The program learns to recognize changing conductivity patterns by mapping them to specific behaviors and movements. For example, type the letter X using your keyboard. Additionally, once the algorithm is properly trained, a physical keyboard is no longer required. Simple hand movements are enough. This method is also more efficient than existing techniques.
Researchers say the technology could be used in a variety of industries, including robotics, telemedicine, sports and gaming. This technology can revolutionize the above industries and help them grow.
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Rishabh Jain is a consulting intern at MarktechPost. He is currently pursuing his B.tech in Computer Science at his IIIT in Hyderabad. He is a machine learning enthusiast with a strong interest in artificial intelligence and statistical methods in data analysis. He is passionate about developing better algorithms for AI.