Google wants to transfer device management to smart cords
The Google research group has developed a new technology for managing various devices and gadgets using electronic textiles.
The team from the company’s artificial intelligence department has developed a smart lace from electronic textiles, using which a person can intuitively control any device. The system is able to recognize six options for manipulation: rotation, twitching, sliding, squeezing, gripping and impact. This list can be expanded due to the fact that actions can be performed with different intensities and in any direction.
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Inside such a textile, there are completely no metal wires, instead of which eight woven sensor threads are used, generating their own electric field. The threads are connected to the sensors, which allows you to determine various types of interaction, such as the proximity of the object, the area and time of contact, pressure and rotation.
The system uses a special algorithm to process this information and to distinguish finger touches from the hand, shock from squeezing, and so on. The team used machine learning and 864 sample gestures to teach the algorithm to correctly detect movements, regardless of the size of the user’s hand and direction of movement. As a result, the system is able to detect gestures with an accuracy of 94%.
Although the technology is still in its infancy, the Google team introduced a prototype electronic textile manipulator in the form of a smart cord and demonstrated some of its uses. In the future, developers plan to improve the system for interacting with wearable devices and the possibility of integration with everyday clothes.
The company’s studies have shown that manipulating electronic textiles takes less time than pressing buttons and is comparable to touch surfaces, since they do not require finding specific touch points.
Earlier, we also reported that scientists have developed textiles that can produce enough electricity to charge mobile devices and wearable gadgets.
, photo and video: YouTube / Alex Olwal Google AI