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Device and method for carrying out gesture recognition based on pressure sensor array

A pressure sensor and gesture recognition technology, applied in the field of human-computer interaction, can solve the problems of reduced accuracy of gesture recognition, high cost, and low efficiency

Inactive Publication Date: 2015-11-04
王建勤
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a result, the inefficiency and high cost of pressure measurement related to the user's hand movement are caused, and the measured data contains too much useless interference information, resulting in a decrease in the accuracy of gesture recognition;
[0010] 2. The purpose of this invention is only to judge the user's hand posture by measuring the user's arm pressure, but does not extend the principle of the invention to the user's hand action recognition representing richer information content, which has relatively large limitations

Method used

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  • Device and method for carrying out gesture recognition based on pressure sensor array
  • Device and method for carrying out gesture recognition based on pressure sensor array
  • Device and method for carrying out gesture recognition based on pressure sensor array

Examples

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Embodiment 1

[0067] When the user's hand maintains a certain posture, the pressure sensor array can obtain the signal caused by the pressure of the detected tendon, and by analyzing the generated signal, the signal value corresponding to each detected tendon can be obtained. By analyzing the signal values ​​corresponding to each tendon, the user's hand posture is judged.

[0068] In this embodiment, a method for recognizing a user's hand posture is proposed. When the user's hand maintains a certain posture, the recognition of the gesture is realized through the following steps:

[0069] 1. Obtain the pressure signal caused by each detected tendon through the pressure detection device;

[0070] 2. Determine the position distribution of each detected tendon according to the collected detection signals;

[0071] 3. Extract the signal value corresponding to each detected tendon and the displacement along the wrist relative to the normal position;

[0072] 4. Through the analysis of the corre...

Embodiment 2

[0080] The user wrist tendon pressure detection device proposed by the present invention detects the pressure characteristics of the tendon acting on the sensor through the pressure sensor array distributed on the user's wrist to be detected. The measured signal values ​​obtained by each sensor in the sensor array relative to the position of the sensor array constitute a distribution map of the pressure signal value with respect to the position of the sensor array, as shown in Image 6 17 in the

[0081] By comparing the pressure signal value of one or more tendons related to the user's hand posture with respect to the sensor array position distribution map, and the pressure signal value stored in the standard action in the storage unit with respect to the sensor array position distribution map, the user's hand can be judged attitude.

[0082] In this embodiment, a method for recognizing a user's hand posture is proposed. When the user's hand maintains a certain posture, the ...

specific Embodiment 3

[0089] The user's gesture action is the continuous change of the user's hand gesture relative to time. Compared with the user's static hand gesture, the user's gesture action contains richer content, and thus can represent more manipulation information. From the perspective of recognition, the user's gestures contain multi-dimensional information, so it is easier to improve the accuracy of recognition.

[0090] This embodiment proposes a method for hand motion recognition. When the user wears a recognition device and makes various gestures, the hand motion recognition is realized through the following steps:

[0091] 1. Data collection: collect the signal caused by the user's detected tendon pressure;

[0092] 2. Activity segment monitoring: through the analysis of the characteristics of the collected signals, determine the time points that represent the start and end of the continuous signal segment of the user's action;

[0093] 3. Feature extraction: From the obtained acti...

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Abstract

A device for carrying out gesture recognition based on a pressure sensor array, comprising a muscle tendon pressure signal acquisition unit, a signal conversion unit, a data processing and gesture action identification unit and the like, and being characterized in that the pressure sensor array of the muscle tendon pressure signal acquisition unit is mounted on an inner side, close to skin of a user, of a wearing mechanism. And a method for carrying out the gesture recognition based on the pressure sensor array, comprising: step 1, acquiring a signal caused by detected muscle tendon pressure of a wrist of the user; step 2, extracting characteristic data for characterizing hand gestures or actions of the user of detected muscle tendon from the acquired signal; and step 3, analyzing the extracted characteristic data to determine the hand gestures or actions of the user. The gesture recognition method and device, provided by the invention, have the advantages of being simple in principle and high gesture recognition accuracy. Meanwhile, the utilization of the device is not limited by conditions; and the device can be combined with wearable equipment including intelligent watches, bracelets and bangles, so that the device is more easily popularized and utilized.

Description

technical field [0001] The invention relates to a gesture recognition device and method, in particular to a gesture recognition device and method based on a pressure sensor array, belonging to the field of human-computer interaction. Background technique [0002] Research on gesture recognition technology is one of the key points and hotspots in the field of human-computer interaction technology research. The input methods of gesture recognition technology mainly include: gesture recognition based on data gloves, gesture recognition based on vision, and gesture recognition based on human body action electromyography (SEMG). [0003] The vision-based gesture recognition method is simple and easy to implement, and the equipment cost is low. The non-contact gesture motion collection method greatly improves the naturalness and comfort of the interaction. However, due to the uncertainty of vision, it depends on the viewing angle observed by the camera, and has disadvantages such...

Claims

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Application Information

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IPC IPC(8): G06F3/01
Inventor 王建勤
Owner 王建勤
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