Wearable device

Abstract

The invention discloses a wearable device which comprises an infrared light-emitting component, a communication unit, a control unit and a body. The infrared light-emitting component comprises infrared light-emitting diodes and used for emitting infrared light, the communication unit is used for trustfully connecting with an infrared gesture recognition device and receiving driving instructions and closed instructions transmitted by the infrared gesture recognition device, the control unit responds the driving instructions and the closed instructions and correspondingly controls the infrared light-emitting component to emit or close the infrared light, the communication unit and the control unit are arranged in the body, the body is provided with a flexible part, and the infrared light-emitting diodes of the infrared light-emitting component are linearly arranged along the sides of the flexible part. According to the wearable device, distinction degree of a gesture area and a background area can be effectively improved, response time of a gesture recognition system is shortened, recognition rate and instantaneity of gesture recognition of an operator under the conditions of complicated background and dark light are improved, and human-computer interaction experience is improved.

Description

technical field [0001] The present invention relates to the technical field of smart wearable devices, and more specifically, to a wearable device. Background technique [0002] With the popularity of smart wearable devices and the improvement of people's requirements for human-computer interaction experience, gesture recognition can make up for the shortcomings of traditional interaction methods due to its convenient, real and intuitive characteristics, and plays an increasingly important role in human-computer interaction systems. An important role, in the gesture recognition technology that is widely used in the interaction with smart devices such as computers, mobile phones, and drones. The process of gesture segmentation is greatly affected by the external environment. For example, when the ambient light is dim and the background is cluttered, Especially when the recognition device is moving and the background is more varied and complex, it is difficult to effectively p...

AI Technical Summary

Problems solved by technology

[0006] However, on the one hand, the requirements for background conditions not only limit the application scenarios of gesture recognition, such as being difficult to use in outdoor scenes, but also reduce the human-computer interaction experience, and the complexity of gesture recognition algorithms is high, which takes up a lot of computing resources. The effect is not ideal

On the other hand, wristbands with built-in motion sensors can only provide gesture trajectory information as an auxiliary, and the accuracy is low.

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