Input method and input device

Abstract

The invention discloses an input method and an input device. The input method comprises the following steps: identifying behavior characteristics and generating a behavior characteristic identification result; acquiring a brain wave signal and identifying the brain wave signal to generate a brain wave identification result; and identifying a final identification result according to the behavior characteristic identification result and the brain wave identification result. With the adoption of the input method and the input device, the final identification result can be acquired through combining the brain wave identification result with the behavior characteristic identification result, so that the problem that the behavior characteristic identification result cannot be accurately input in the prior art is solved, and the accuracy of input is improved.

Description

technical field [0001] The invention relates to the field of input, in particular to an input method and device. Background technique [0002] With the development of technology, the way users input in the terminal is undergoing great changes. In the past, it was through contact methods such as tapping the keyboard or moving the mouse, but now some non-contact methods have gradually appeared, such as image recognition technology. It usually uses a 2D / 3D or depth camera to acquire the user's gestures or track the eyes to form an image, and then recognizes the image and executes the corresponding input behavior. [0003] However, image recognition technology is greatly affected by the surrounding environment, and the accuracy is not high. For example, when the light is dim, the acquired image is not clear enough to be recognized. Moreover, some recognition test image operations cannot be completed. For example, the images obtained by tracking the eyes can only recognize th...

AI Technical Summary

Problems solved by technology

[0003] However, image recognition technology is greatly affected by the surrounding environment, and the accuracy is not high

For example, when the light is dim, the acquired image is not clear enough to be recognized

And some recognition test image operations cannot be completed

For example, the images obtained by tracking the eyes can only recognize the object operated by the user, but it is impossible to analyze whether the specific operation of the user wants to watch the object carefully or is in a daze when seeing the object

Therefore, the prior art cannot accurately perform non-contact input

[0004] For contact input methods, such as traditional touch screen technology, users may also be affected by other factors, such as inattention or hand shaking, which makes the input content different from what the user wants to input.

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