Sitting posture recognition method and device and storage medium
A recognition method and technology of sitting posture, applied in the field of image recognition, can solve the problems of poor user experience and high cost, and achieve the effect of reducing costs
Pending Publication Date: 2022-07-29
北京精鸿软件科技有限公司
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Problems solved by technology
[0003] In related technologies, the detection of sitting posture needs to be based on wearable devices. However, the method based on wearable detection requires the user to wear corresponding devices or install corresponding sensors, which is costly, poor user experience, and can only limit the range of activities of the user. Where these devices are installed
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[0053] figure 1 It is a flow chart of a sitting posture recognition method shown according to an exemplary embodiment. The method can be applied to electronic devices such as mobile phones, personal computers, servers, etc. with information processing capabilities, which are not specifically limited in the present disclosure, such as figure 1 As shown, the method includes:
[0054] S101. Acquire multiple frames of person images.
[0055] The number of frames of the person image may be pre-calibrated, for example, the person image may be composed of images of 6 consecutive frames or 12 frames collected by the camera. The time interval between two consecutive frames of images may be 100 milliseconds to 500 milliseconds. The specific number of frames and the time interval can be calibrated according to the specific situation of the sitting posture to be recognized. For example, in the case of needing to recognize the students' slapstick actions, the number of frames and the t...
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The invention relates to a sitting posture recognition method and device and a storage medium, and belongs to the field of image processing, and the method comprises the steps: obtaining a plurality of frames of figure images; performing feature extraction on each frame of the figure image to obtain key point information; determining a feature matrix based on the key point information; and inputting the feature matrix into a pre-trained sitting posture recognition model to obtain the probability of each sitting posture corresponding to the figure image. According to the invention, the multi-frame figure image is acquired, the key point information in the figure image is extracted, and the feature matrix corresponding to the figure image is constructed, so that the sitting posture recognition model recognizes the sitting posture of the figure in the figure image based on the feature matrix, the sitting posture recognition can be effectively realized without depending on a wearable device, and the sitting posture recognition cost is reduced.
Description
technical field [0001] The present disclosure relates to the field of image recognition, and in particular, to a sitting posture recognition method, device and storage medium. Background technique [0002] In home study scenarios or face-to-face course teaching scenarios, accurate identification of the user's sitting posture helps to analyze students' learning concentration, which in turn helps to improve the way the content of the learning machine is presented or the way teachers teach knowledge, making it more efficient and user-friendly. [0003] In the related art, the detection of sitting posture needs to be based on a wearable device. However, the method based on wearable detection requires the user to wear a corresponding device or install a corresponding sensor, which is costly, has poor user experience, and can only limit the user's range of activities. where these devices are installed. SUMMARY OF THE INVENTION [0004] In order to solve the problems existing in...
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Login to View More IPC IPC(8): G06V40/10G06V40/20G06V10/44G06V10/764G06V10/82G06K9/62
CPCG06V40/10G06V40/20G06V10/44G06V10/764G06V10/82G06F18/2415
Inventor 王超沐天宇陈奕名霍卫涛马丁阚海鹏张清宇
Owner 北京精鸿软件科技有限公司