Camera and pressure sensor based cervical spondylopathy identification method

Abstract

The invention discloses a camera and pressure sensor based cervical spondylopathy identification method. The method comprises that S1) a camera and a pressure sensor are used to collect test samples of a user in different sitting postures; S2) the test samples are identified by a face classifier and a sitting posture classifier, and accuracies of the face classifier and the sitting posture classifier are obtained; S3) the weights of the face classifier and the sitting posture classifier are adjusted; S4) a present face image and present pressure data of the user are collected; S5) the face classifier identifies the probabilities of different sitting postures according to the present face image, the sitting posture classifier identifies the probabilities of different sitting postures according to the present pressure data, the comprehensive probability of each sitting posture is calculated, and the sitting posture of the highest comprehensive probability is a present sitting posture of the user; and S6) the time lengths of a standard sitting posture and a non-standard sitting posture of the user in a preset period are counted respectively, and the risk of cervical spondylopathy of the user is determined. The neck attitude is determined by combining the face image and body pressure, and the determination precision is improved.

Description

technical field [0001] The invention relates to the technical fields of image recognition and body pressure distribution, in particular to a method for recognizing cervical spondylosis based on a camera and a pressure sensor. Background technique [0002] Cervical spondylosis is a common and extremely harmful chronic disease, and it is very difficult to cure. The emergence of cervical spondylosis is a gradual process. If the prevention and early diagnosis of cervical spondylosis can be carried out through long-term monitoring, patients can see a doctor in time, so that the condition will not be delayed. [0003] In the cervical spondylosis prevention and diagnosis method based on the camera and pressure sensor, it is necessary to judge the head movement based on the image. Image recognition technology is often used to accurately locate the facial features and the obvious features in the background, and through the relationship between the located facial features and the feat...

AI Technical Summary

Problems solved by technology

[0004] (1) Due to the large number of targets to be located, limited by the hardware level, the positioning speed is low, and usually there will be a delay;

[0005] (2) The obvious features in the background as the reference object are generally selected according to the feature value, and it cannot be guaranteed that it must be a still life in the background. If the selected reference object moves during the judgment process, it will cause deviations in the results;

[0006] (3) When the user's head deflects and no longer faces the camera, when the customer's head deflects back again, the judgment will be inaccurate or even impossible

[0007] At present, the above-mentioned problems can be solved by using multiple cameras for omni-directional recognition, but there are problems such as difficult layout and high cost

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