Method for recognizing posture and action of human limbs based on space division study

A technology of human body movements and postures, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems that HMMs models cannot effectively integrate information, cannot guarantee the accuracy of model parameters, and increase the computational complexity of the system to achieve accurate High rate, strong real-time performance, guaranteed real-time effect

Active Publication Date: 2015-05-13
北京中科盘古科技发展有限公司
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Problems solved by technology

The above-mentioned hidden Markov models have two disadvantages: First, because HMMs are only suitable for describing the system of a single moving object, as the number of moving objects increases, the number of states of the system and the state transition matrix in the HMMs model and The parameters of the observation model increase exponentially, which greatly increases the computational complex

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  • Method for recognizing posture and action of human limbs based on space division study
  • Method for recognizing posture and action of human limbs based on space division study
  • Method for recognizing posture and action of human limbs based on space division study

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Embodiment Construction

[0069] The present invention is a new method for recognition of human body posture and action, and the steps for realizing the technology are as follows:

[0070] (1) By collecting a large number of human action examples, learn to analyze the series of posture data in the current action after each collection, and store the analysis results in the posture database of the action sequence.

[0071] Through observation, we found that the human body posture can be described by the positional relationship between the joint points of the human body. Although the lengths of the human body limbs are different, for the same posture, each person’s part of the limbs related to this posture (such as the joint formed between the shoulder joint and the elbow joint) The upper arm, the lower arm formed between the elbow joint and the wrist joint, etc.) normalized vectors are the same, for example, when the human skeleton posture is as shown in the accompanying drawing figure 1 When shown, by l...

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Abstract

The invention provides a method for recognizing posture and action of human limbs based on space division study. The method comprises the steps of (1) constructing a sequence database for some action and posture, acquiring lots of body joint action data, constructing action and posture characteristic vectors by a space dividing and encoding manner, and storing into the sequence database for some action and posture; (2) reading new body joint data when recognizing some action, organizing into the action and posture characteristics vector, finding out the action-rated action and posture sequence database to match so as to determine whether some posture and action are performed. The method has the characteristics of being high in real-time performance, high in accuracy, high in robustness and easily expanded; in addition, the method is suitably used for recognizing the postures and actions of many people.

Description

technical field [0001] The invention belongs to the field of human-computer interaction pattern recognition, in particular to a gesture recognition method. Background technique [0002] Recognizing the posture and movement of the human body can bring a new way of human-computer interaction, which can convey the meaning of the user and control the device or application through body language, that is, the posture and movement of the human body. [0003] In terms of obtaining human body data, it is divided into two categories of technical methods, one is based on specific input hardware devices for gesture and action recognition, and the other is based on imaging technology. [0004] Technologies based on specific input devices use motion-capture gloves (also known as "data gloves"), probes, or other types of positional trackers that convert motion into signals that are sent to the system for recognition. [0005] For example, motion capture gloves are equipped with sensors to...

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Application Information

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IPC IPC(8): G06K9/66
CPCG06V40/23
Inventor 沈文杨林刘爽刘萌
Owner 北京中科盘古科技发展有限公司
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