A human motion recognition method based on multi-sensor data fusion

A technology of human action recognition and data fusion, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as single classifier decision error, and achieve the goal of improving robustness, reducing huge disturbance, and improving algorithm performance. Effect

Active Publication Date: 2018-12-25
DALIAN UNIV OF TECH
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Problems solved by technology

[0004] The present invention mainly solves technical problems such as the single classification algorithm in the prior art cannot be applied to the recognition of all human actions, and the single classifier has certain decision-making errors, etc., and proposes a human action recognition method

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  • A human motion recognition method based on multi-sensor data fusion
  • A human motion recognition method based on multi-sensor data fusion
  • A human motion recognition method based on multi-sensor data fusion

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[0062] In order to make the technical problems solved by the present invention, the technical solutions adopted, and the technical effects achieved by the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for ease of description, the drawings only show a part but not all of the content related to the present invention.

[0063] figure 1 It is a flowchart of the realization of the human body action recognition method based on multi-sensor data fusion of the present invention. Such as figure 1 As shown, the specific process of the human body motion recognition method based on multi-sensor data fusion provided by the embodiment of the present invention is as follows:

[0064] Step 100, using N...

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Abstract

The invention relates to the field of human body motion recognition, and provides a human body motion recognition method based on multi-sensor data fusion. The method comprises the following steps: human body motion data are collected by using N inertial sensor nodes respectively fixed at different parts of the human body; sliding window segmentation technology is used to segment the human motiondata collected from each sensor node to obtain multiple motion data segments of each sensor node; feature extraction is carried out on the motion data segment of each sensor node to obtain the corresponding feature vector; an RLDA algorithm is used to reduce the dimension of eigenvectors of each sensor node; the reduced dimension eigenvector of each sensor node is used as training data for parameter training and modeling, and the corresponding hierarchical fusion model is obtained; using the hierarchical fusion model, human motion recognition is carried out. The invention can effectively overcome the drawbacks of the single classifier in the identification process, and can effectively improve the human motion identification accuracy.

Description

technical field [0001] The invention relates to the field of human motion recognition, in particular to a human motion recognition method based on multi-sensor data fusion. Background technique [0002] Human action recognition technology is a new human-computer interaction method that has emerged in recent decades, and it has gradually become a hot issue studied by scholars at home and abroad. Human body movements mainly refer to the way the human body moves, as well as people's responses to the environment or objects. The human body describes or expresses complex human movements through complex movements of the limbs. It can be said that most of the actions of the human body need to be reflected through the movement of the body limbs. It becomes a very effective way to analyze the human body's motion by studying and exploring the human body's motion. Human action recognition based on inertial sensors is an emerging research field in the field of pattern recognition. Its ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62
CPCG06V40/20G06V10/267G06V10/40G06F18/213G06F18/25
Inventor 王哲龙郭明王英睿赵红宇仇森
Owner DALIAN UNIV OF TECH
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