Multi-dimensional control method and device based on gestures

Abstract

The invention provides a multi-dimensional control method and device based on gestures. The control method comprises detecting a gesture action of a user so as to obtain an electromyographic signal Zcorresponding to the gesture action, wherein the gesture action is at least a linear combination of a first single-degree-of-freedom action and a second single-degree-of-freedom action; and processingthe obtained electromyographic signal Z according to the following equation: Z'=W'.F, wherein Z' is a characteristic signal of the electromyographic signal Z, and W 'is a pseudo-inverse matrix of a system transfer matrix W, and F is a non-negative control signal matrix, the system transfer matrix is obtained through a sparse non-negative integer factor decomposition algorithm in the training process, and the row vector of the non-negative control signal matrix and the corresponding single-degree-of-freedom action are synchronous and are in direct proportion. The multi-dimensional control method and control device based on the gestures can convert the electromyographic signal representing the gesture actions into a control signal based on sparse non-negative matrix factor decomposition, soas to carry out synchronization and direct proportion control based on the gestures.

Description

technical field [0001] The invention relates to the field of gesture control, in particular to a gesture-based multi-dimensional control method and control device. Background technique [0002] With the widespread popularization of electronic devices, it is hoped to develop richer human-computer interaction technologies, so as to promote the convenience of using electronic devices. [0003] For example, an electronic device may include a sensor to detect a user's input, and generate various control signals based on the user's input to control the electronic device to perform various functions. Both sensor types and input types can come in many forms, including but not limited to: touch sensors (e.g., buttons, switches, touchpads, keys, etc.) to provide manual control, acoustic sensors to provide voice control, and / or to provide gesture control the acceleration sensor. [0004] A gesture recognition system is a system for implementing a type of gesture control that detects ...

AI Technical Summary

Problems solved by technology

However, this method is usually more suitable for recognizing static gestures, the so-called "hand shapes", and is not suitable for dynamic gestures

In addition, the actual application range of this method is often limited, such as site restrictions, activity range restrictions, environmental factor restrictions (brightness, etc.), etc.

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