Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Human fall detection method based on triaxial acceleration sensor

A detection method and axial acceleration technology, which is applied in the field of biomedical signal processing, can solve problems such as long time required, poor real-time performance, and unsatisfactory results, and achieve the effects of low cost, high accuracy and reliability, and easy integration

Inactive Publication Date: 2016-10-05
SHANDONG NORMAL UNIV
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] (3) Intelligent detection system: It is set that the inevitable result after the human body falls is that the detected person does not move for a period of time after the fall. The disadvantage is that the real-time performance is poor and it takes a long time
Obviously, this fall detection method is too simple, and the result is not very ideal. Later, a detection system with acceleration signals as the detection object gradually appeared, such as a single-direction acceleration sensor placed on the torso and front of the thigh, but due to the single The limitation of the direction acceleration sensor, this method can only detect several typical activities and posture changes

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human fall detection method based on triaxial acceleration sensor
  • Human fall detection method based on triaxial acceleration sensor
  • Human fall detection method based on triaxial acceleration sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] According to the uniform requirements of the portable ECG monitoring system, the invention detects falls in real time on the basis of acquiring human motion acceleration signals through wearing on the human body.

[0049] 1) Acquisition of human body acceleration data:

[0050] 11) Selection of experimenters: Since falls are dangerous to the health of the elderly, this invention selects young people to simulate the fall of the elderly. The experimenter was a male volunteer, 27 years old, 185cm tall, 75kg in weight, and in good health.

[0051] 12) The wearing position of the system is the heart on the left side of the human chest, and the direction of the three-axis acceleration sensor is required to meet: the X-axis indicates the vertical direction of the human body, the Y-axis indicates the front-to-back direction, and the Z-axis indicates the left-right direction. The signals obtained in this way can be regarded as spatial A three-dimensional vector in the Cartesian...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a tumble detection method for a human body based on a three-axis acceleration sensor, which acquires human body three-dimensional acceleration signals through the three-axis acceleration sensor. The method adopts the three-axis acceleration sensor to acquire the acceleration signals of the human body in three directions, adopts two characteristic quantities of SVM and SMA to detect the tumble of the human body. The method comprises the following particular steps: 1) acquiring acceleration data of the human body; 2) performing data preprocessing; 3) calculating SVM value; 4) performing SVM wavelet analysis; 5) detecting SVM detection, if the SVMs of a plurality of consecutively acquired sample points are larger than or equal to the threshold value th1, confirming the tumble of the human body initially, and entering step 6), otherwise, continuing step 5); 6) calculating SMA value, if the SMA is larger than or equal to the threshold value th2, entering step 7), otherwise, determining as suspicious tumble, returning to step 5); 7) if the SMAs of a plurality of consecutively acquired sample points is larger than or equal to the threshold value th2, confirming the occurrence of tumble finally and alarming, otherwise, determining as suspicious tumble, and returning to step 5).

Description

technical field [0001] The invention relates to a human body fall detection method, in particular to a human body fall detection method based on a triaxial acceleration sensor. The invention belongs to the technical field of biomedical signal processing. Background technique [0002] A fall refers to a sudden, involuntary, and unintentional change in body position when the human body cannot respond in time, falling to the ground or a lower surface. Most people have experienced falls to some degree, but for older adults, falls can be far more traumatic than for younger or healthier individuals. [0003] The aging trend of China's social population is becoming more and more serious, and the aging process is gradually accelerating. According to the sixth census in 2010, the population aged 60 and over was 177,648,705 (177 million), accounting for 13.26% of the total population of the country, an increase of 2.93 percentage points from the 2000 census, of which the population ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08B21/04
Inventor 赵捷张军建
Owner SHANDONG NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products