Fall detection system and fall detection method based on depth image

Abstract

The invention discloses a fall detection system and a fall detection method based on a depth image. The fall detection system comprises an image reading device which reads and preprocesses the depth image; a coordinate processing unit used for receiving the depth image information of the image reading device for calculating and processing coordinate information, calculating a speed and a acceleration of each joint point according to the coordinate information, and for judging whether a person is in a falling state or not by judging the characteristic information. Motion detection, behavior recognition and fall detection are carried out by using the depth image, unique advantage of privacy protection is achieved, and all-weather monitoring can be carried out in a more privacy-conscious room with no illumination interference.

Description

technical field [0001] The invention relates to a detection method, in particular to a fall detection system and a depth image-based fall detection method thereof. Background technique [0002] In recent years, the problem of population aging in our country has become increasingly serious, and the health and daily life safety issues of the elderly have received widespread attention and attention from the society. With the increase of age, the risk of accidental falls will increase year by year for the elderly, and the social and economic costs of falls will be higher, so fall detection technology is very necessary. [0003] At present, there are three main types of fall detection systems: wearable device-based, environment-based and vision-based human fall detection systems. The fall detection system based on wearable devices mainly uses wearable sensor devices to detect parameter information such as the speed and acceleration of human movement, and judges whether a fall oc...

AI Technical Summary

Problems solved by technology

However, RGB cameras may have the risk of privacy leakage, such as private places such as bathrooms and bedrooms

Many elderly people do not want to install cameras in private places, but these scenes are the most prone to accidents such as falls, especially the bathroom floor may be relatively slippery

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