Interaction control system of wearable equipment and working method of interaction control system

Abstract

The invention relates to the field of wearable device interaction, and particularly discloses an interaction control system of a wearable device and a working method of the interaction control system. A convolutional neural network model based on a deep learning technology is adopted to mine correlation features between data items and between time points, wherein the data items and the time points are collected by a plurality of sensors pasted on an arm. Meanwhile, local correlation features in the signal oscillogram of the bio-electricity signals captured by the myoelectricity sensor within the preset time period are extracted, and a Gaussian density map based on likelihood maximization is further adopted to improve the fusion degree in a high-dimensional space, so that the classification result is more accurate. In this way, the willingness expressed by the human body action can be more accurately obtained from the obtained data, and then the experience of a user when the user controls the wearable device is improved.

Description

technical field [0001] The present invention relates to the field of wearable device interaction, and more particularly, to an interactive control system of a wearable device and a working method thereof. Background technique [0002] With the advancement of science and technology and the continuous improvement of living standards, smart wearable devices have gradually entered people's eyes and gradually integrated into people's lives, becoming a series of well-known electronic products. However, due to the wearable and portable characteristics of smart wearable devices, their size design is usually small, and they can only be equipped with a small touch screen or even no touch screen. This makes it difficult to use tap controls that are otherwise suitable for mobile phones in wearable devices. [0003] Therefore, in order to improve the user's experience when controlling wearable devices, in recent years, researchers have devoted themselves to the study of understanding th...

AI Technical Summary

Problems solved by technology

Some existing solutions only perform specific recognition on the fine-grained level of the fingers or the coarse-grained level of the arm, and the accuracy and precision of the recognized gestures or arm types are not satisfactory.

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