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Gesture recognition scheme of smart watch based on arm electromyography

A smart watch, gesture recognition technology, applied in character and pattern recognition, mechanically driven clocks, input/output of user/computer interaction, etc., can solve problems such as increasing hardware costs

Active Publication Date: 2014-02-05
SHANGHAI OYMOTION INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This solution does not add much hardware cost, and mainly utilizes the existing signal and data processing capabilities of smart watches, but greatly improves the practicability and added value of smart watch products

Method used

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  • Gesture recognition scheme of smart watch based on arm electromyography
  • Gesture recognition scheme of smart watch based on arm electromyography
  • Gesture recognition scheme of smart watch based on arm electromyography

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Experimental program
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Embodiment Construction

[0009] The core of the present invention is to add the function of gesture recognition based on arm muscle current signal detection to the smart watch. The specific technical implementation is to place one or more epidermal muscle current sensors on the inner side of the watch strap close to the arm skin and the back of the watch according to the position of the arm muscles. Analog signal filtering, amplification, analog signal digital conversion and other circuits become a continuous digital signal stream visible to the processor of the smart watch. By implementing the gesture recognition processing algorithm in the processor, the characteristic parameters of each gesture are extracted, and gesture recognition is finally realized. .

[0010] figure 1 It is a possible appearance form of a smart watch (100) integrated with the gesture recognition technology through muscle current. The smart watch (100) includes but is not limited to the following components: watch host (101) ...

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Abstract

A smart watch is small and exquisite, and has very high data operation and processing capacity; the disadvantages and the advantages of the smart watch are obvious; compared with a smart mobile phone, a display screen is small in size, so that the smart watch has great limitation in information display and user input, and is not high in practicability; and compared with the smart mobile phone or other electronic equipment, the smart watch clings to skin of a user, so that the smart watch has great advantages in detecting and utilizing life biological information of the user by adding a biological inductor. According to a scheme, a gesture recognition technology based on arm electromyography is added to the smart watch, software fully uses the signal and data processing capacity of the watch, and limited hardware circuits are increased, so that the smart watch can be controlled conveniently by a gesture, the smart watch can be changed into a universal gesture recognition controller by mounting a gesture application program, the practicability and a value of the smart watch are improved and increased greatly, and seamless integration of two technologies is realized.

Description

technical field [0001] The invention relates to a technical scheme of adding a gesture recognition method to a smart watch. The gesture recognition method is based on arm muscle current signal (EMG) detection, and the smart watch performs signal processing to extract gesture characteristic parameters to realize gesture distinction. By integrating this gesture recognition technology into a smart watch, it is possible to control the smart watch with gestures in an integrated manner, or further realize the function of a general gesture recognition controller through the smart watch to control electronic devices such as mobile phones, TVs, and computers. Technically, when we make a certain gesture, the corresponding arm muscles will generate a weak bioelectrical signal. By detecting the change of the muscle current signal, coupled with real-time digital signal gesture recognition algorithm processing, we can detect fingers, palms, and wrists. The characteristic parameter informati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/00G04B47/06
Inventor 不公告发明人
Owner SHANGHAI OYMOTION INFORMATION TECH
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