Human body sleep posture detection method based on pyramid matching histogram intersection kernel

A technology of sleep posture and detection method, applied in the field of biomedical information, can solve the problems of low accuracy, single detection method of human sleep posture, etc.

Inactive Publication Date: 2016-04-13
XIDIAN UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a new human sleep posture detection method based on pyramid matching histog

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  • Human body sleep posture detection method based on pyramid matching histogram intersection kernel
  • Human body sleep posture detection method based on pyramid matching histogram intersection kernel
  • Human body sleep posture detection method based on pyramid matching histogram intersection kernel

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[0075] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0076] Human sleep posture recognition is an important research direction. It has broad application prospects in many fields, such as intelligent monitoring, advanced human-computer interaction, and telemedicine. However, due to the fact that ordinary optical images are easily affected by external factors such as light and shadows, the research on human sleep posture recognition has not made breakthrough progress. Until recent years, with the development of depth sensing equipment, people have recognized posture from depth images. There has been great interest, but little research has been done on sleep monitoring of human ...

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Abstract

The invention discloses a human body sleep posture detection method based on a pyramid matching histogram intersection kernel, comprising steps of adopting Artec and Kinect to collect data, establishing the coordination system of each model, establishing a projection coordinate system, extracting a depth image, extracting a characteristic pack where the size and the rotation are not changed of each depth image by an SIFT algorithm, performing cluster on the visual words, the SIFT characteristic code of which is visible, to obtain dictionary, substituting the bag of words which are obtained through performing statistic on the SIFT characteristic number belonging to each center of mass into the human body sleep posture detection method based on the pyramid matching histogram intersection kernel to identify each inputted sleep posture of each three-dimension human body sleeping model. The invention is small in error and is not easy to cause the classification disaster, guarantees the stability in the change of visual angle, affine transformation and the noise, and realizes the accurate determination on each sleep posture of each three-dimension human body sleep model.

Description

technical field [0001] The invention belongs to the technical field of biomedical information, and in particular relates to a method for detecting human sleep posture based on a pyramid matching histogram intersection kernel. Background technique [0002] In daily life, people, especially bedridden patients, suffer from severe pressure on local tissues due to incorrect sleeping positions. And the wrong sleeping position may cause heart disease and cervical disease. So studying different sleeping positions is important for surveillance, health care, elderly care. Therefore, human sleep posture recognition is an important research direction, and its ultimate goal is to output the structural parameters of a person's overall or partial limbs. The research method of sleep posture recognition should be said to involve biomedical engineering, biomedical informatics, etc. In the past, some methods based on this research were based on ordinary optical images, such as common RGB im...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06K9/46
CPCG06V40/103G06V10/50G06V10/758G06V10/462G06F18/23213
Inventor 任爱锋董彬彬杨晓东吕翔宇
Owner XIDIAN UNIV
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