Tumble detection system

Abstract

The invention discloses a tumble detection system. The system comprises an air pressure sensor, a six-axis sensor, a photoelectric type pulse sensor, a main control unit (MCU), a server and a mobile terminal, wherein the air pressure sensor is used for acquiring air pressure altitude data of a sporter; the six-axis sensor is used for acquiring accelerated speed data and angular speed data generated by the sporter; the photoelectric type pulse sensor is used for acquiring user pulse data; the MCU is used for performing feature processing on the acquired air pressure altitude data, the accelerated speed data, the angular speed data and the user pulse data to acquire feature data, judging whether the feature data is tumble data or not, and generating tumble information if the feature data is the tumble data and transmitting the tumble information to the server through the GPRS module; the MCU comprises the GPRS module; the server is used for transmitting the tumble information to the mobile terminal; and the mobile terminal is used for receiving the tumble information transmitted by the server side and displaying the tumble information. The system can improve the detection accuracy.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to a fall detection system. Background technique [0002] At present, according to the 2015 National Economic and Social Development Statistical Bulletin issued by the National Bureau of Statistics, the number of people aged 60 and over in my country at the end of 2015 was 221.82 million, accounting for 16.15% of the total population; the number of people aged 65 and over was 14374 million people, accounting for 10.47%. In other words, my country has entered a period of population aging. Falls are more common in older age groups and affect older adults much more than younger adults. According to research at home and abroad, 30% of people over the age of 65 have fallen every year, and with age, this number is also rising. Among the elderly over the age of 80, the possibility of falling is even higher. will reach half. At present, the fall monitoring on the market is posture moni...

AI Technical Summary

Problems solved by technology

This kind of monitoring also has great limitations. When the wearer sleeps, if the detector is not removed, when the wearer is lying on the bed, false alarms will occur, and the sleeping state is mistakenly monitored as lying on the side, and it is judged as a fall , the detection accuracy is low

Images