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Motion classification and counting method

A counting method and motion classification technology, applied in computing, image analysis, image data processing, etc., can solve problems such as multi-layer perception of moving images that cannot be three-dimensional, save transmission time and cost, meet computing needs, and enhance data security. Effect

Pending Publication Date: 2020-07-28
重庆电政信息科技有限公司
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AI Technical Summary

Problems solved by technology

At present, the convolutional neural network is a research hotspot in the field of speech analysis and image recognition, while the traditional convolutional neural network is a multi-layer perceptron designed to recognize two-dimensional shapes, and cannot perform multi-layer perception on three-dimensional moving images. unable to meet current requirements

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Embodiment Construction

[0034] The invention discloses a new human body movement classification and counting method, which includes the following steps:

[0035] Step 1. Data collection and labeling;

[0036] Step 2, motion type recognition;

[0037] Step 3: Exercise statistics.

[0038] Further, in order to ensure the robustness of the method, the data collection in the first step is set to collect data on various sports of different people, and the data marking is set to mark different sports separately. Wherein, the marking information includes video title, action start time, action end time and action type.

[0039] Further, the motion type identification in the step 2 is to accurately identify different motion types in the video stream shot by the camera, the frame diagram is shown in figure 1 . It includes the following steps:

[0040] 1) Obtain human skeleton information

[0041] A series of time-series frame information is captured by the camera, each frame contains two-dimensional coor...

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Abstract

The invention discloses a motion classification and counting method, which is characterized by comprising the following steps of: firstly, carrying out data acquisition on various motions of differentpeople, and respectively marking the different motions; secondly, constructing a skeleton diagram for the time sequence frame skeleton information of the shot video stream, then performing convolution operation on the constructed skeleton diagram by utilizing a constructed time sequence model and a space model, and performing feature classification through comparison of data acquired in advance so as to identify different motion types; and then counting the exercise amount. The invention has the advantages that the method does not limit the motion type of the human body, does not have constraint and discomfort in the action process of the human body, is simple in structure, high in precision, low in cost, small in size, low in power consumption and convenient to use, has wide applicationin many fields, and has high practical value and application prospects.

Description

technical field [0001] The invention relates to a human body movement classification and counting method, and belongs to the technical field of human movement perception acquisition. Background technique [0002] At present, through the accurate acquisition and analysis of the posture and motion information of the human body, possible diseases can be deduced according to the change of gait; the problem can be analyzed according to the trajectory of the athlete's body and limbs when taking off and hitting the ball, so as to improve training ; Be able to accurately track posture and movement, understand body language, establish high-level human-computer interaction for games and simulation training, and build lifelike characters for digital movies and virtual worlds. However, due to the arbitrariness and complexity of human motion, as well as the diversity of the surrounding environment where the human body is located, it has brought great challenges to real-time and accurate ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06T7/20
CPCG06T7/20G06V40/23G06N3/045G06F18/2411G06F18/214
Inventor 田文龙利节
Owner 重庆电政信息科技有限公司
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