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Handwriting recognition method based on surface electromyographic signal

A technology of myoelectric signal and handwriting recognition, which is applied in the field of signal processing to solve the problem of difficult recognition

Active Publication Date: 2012-07-18
上海念通智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

Make the human-computer interaction system closer to the natural state

Method used

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  • Handwriting recognition method based on surface electromyographic signal
  • Handwriting recognition method based on surface electromyographic signal
  • Handwriting recognition method based on surface electromyographic signal

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Embodiment Construction

[0031] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0032] Such as figure 1 As shown, this embodiment includes the following steps:

[0033] The first step is to collect the surface electromyographic signals of the main muscle groups of the human forearm through the electromyographic signal acquisition device. The collected signals are composed of 6 channels, corresponding to the brachioradialis, pronator teres, flexor carpi flexor, palm length Major muscle groups of the forearm, flexor carpi ulnaris, and flexor digitorum superficialis.

[0034]Step 2, preset parameter stage 100:

[0035] (1) Notch the 50Hz power frequency interference, and use the Butterworth II...

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Abstract

The invention relates to a handwriting recognition method based on a surface electromyographic signal in the technical field of signal processing, which comprises the following steps of: obtaining a real-time electromyographic signal, computing the sequence number of a passage with the maximum contrast value and the signal mean value of the passage, manufacturing a real-time sample signal, determining the start time and the end time, manufacturing a training template of characters, and recognizing each written character of a user to obtain a recognition result. The invention is used for recognizing the character needing to be input by acquiring the surface electromyographic signal on a forearm to interact with a user terminal, so that a man-machine interactive system is more approximate to a natural state.

Description

technical field [0001] The invention relates to a recognition method in the technical field of signal processing, in particular to a handwriting recognition method based on surface electromyographic signals. Background technique [0002] EMG signals have important applications in artificial limb control, grasping recognition, human-machine interface and other fields. For EMG signal recognition, it can be roughly divided into signal detection, decomposition, processing and classification. [0003] Existing recognition methods usually treat non-stationary EMG signals as segmented stationary signals, and study the recognition of some static movements, such as fist stretching, fist clenching, turning up, turning down, cutting up, and cutting down. In recent years, due to the development of signal processing technology and mathematical models, various mathematical methods and artificial intelligence technologies have been applied in EMG signal processing, such as wavelet transfo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
Inventor 黄淦李顺冲盛鑫军朱向阳
Owner 上海念通智能科技有限公司
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