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Gait analysis and anomaly detection method based on wearable sensor

An anomaly detection and sensor technology, applied in sensors, diagnostic recording/measurement, medical science, etc., can solve problems such as inability to recognize alarms, unclear images, etc., achieve high gait complexity, avoid inaccurate feature parameters, reduce effect of error

Pending Publication Date: 2022-05-13
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a gait analysis and anomaly detection method based on a wearable gait sensor. Identify and alarm based on the collected images

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  • Gait analysis and anomaly detection method based on wearable sensor
  • Gait analysis and anomaly detection method based on wearable sensor
  • Gait analysis and anomaly detection method based on wearable sensor

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Embodiment Construction

[0042] The technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the structures described in the following embodiments are only examples, and the steps involved in the present invention can be The gait analysis and abnormal detection method of wearing sensors is not limited to the structures described in the following embodiments, and all other embodiments obtained by those of ordinary skill in the art without creative work belong to this invention. scope of invention protection.

[0043] The invention provides a gait analysis and abnormal detection method based on a wearable gait sensor, comprising the following steps:

[0044] S1, using inertial sensors for data collection;

[0045] S2. Transforming the measured value output by the sensor into a coordinate system;

[0046] S3. Separating the gait cycle;

[0047] S4. Perform zero-speed int...

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Abstract

The invention relates to the technical field of computer application, and discloses a gait analysis and anomaly detection method based on a wearable sensor, and the method comprises the following steps: S1, carrying out the data collection through an inertial sensor; s2, performing coordinate system conversion on a measured value output by the sensor; s3, separation of gait cycles is carried out; s4, zero speed interval detection is carried out; s5, performing discrete integration on the angular velocity; s6, gait complexity evaluation based on elliptical Fourier analysis; s7, gait symmetry evaluation based on a Pearson's correlation coefficient; and S8, carrying out abnormal gait detection based on the gait phase diagram. According to the zero-speed interval detection method based on the data fusion technology, jump occurring in the process of determining the zero-speed interval in a traditional detection method is avoided, and the zero-speed interval is accurately found through the method of fusing the acceleration and the angular speed and adding the window; according to the method for carrying out gait anomaly evaluation through a phase diagram fitted through elliptical Fourier analysis, interference of inertial gravity on acceleration is avoided.

Description

technical field [0001] The invention relates to the technical field of computer applications, and more particularly to a gait analysis and abnormal detection method based on a wearable gait sensor. Background technique [0002] With the development of mobile communication technology, microelectronics technology, and sensor technology, smart wearable devices are becoming more and more popular, and health monitoring based on wearable devices has gradually become a research hotspot. Various types of sensors integrated in wearable devices, such as inertial sensors, Plantar pressure sensors and surface electromyography sensors can continuously collect information on human body movement and posture in any environment for a long time, in order to comprehensively analyze subtle changes in human gait from multiple dimensions in time and space, and realize early detection of abnormal gait. Identification and early warning provide rich and comprehensive data information. [0003] Nowa...

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Application Information

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IPC IPC(8): A61B5/11A61B5/00
CPCA61B5/112A61B5/7264Y02T90/00
Inventor 孙方敏唐嘉辉李烨
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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