A wearable device multi-sensor adaptation and real-time data acquisition method

Abstract

The invention discloses a method for multi-sensor adaptation and real-time data acquisition of a wearable device. The method comprises the following steps that S1 Bluetooth device adaptation, namely a Bluetooth device develops a broadcast packet feature recognition module, a control interface module and a data standardization module; S2 device binding, namely a cloud server establishes a binding relationship between a user ID (Identification) and a device ID in a database; and S3 concurrent real-time acquisition of multi-sensor data, namely a user logs in to the cloud server on a mobile intelligent terminal to obtain a list for the bound devices, the mobile intelligent terminal opens Bluetooth scan and compares the device ID of each Bluetooth device discovered through scanning with the ID of the bound device, a new device thread is created if matching and a connection is established. The method has the beneficial effects that real-time acquisition of the cross-manufacturer multi-sensor data is realized, real-time processing requirements for the multi-sensor data are met, and real-time concurrent acquisition of the multi-sensor data is realized.

Description

technical field [0001] The invention relates to the technical field of multi-sensor adaptation and real-time data acquisition such as human physiological indicators, in particular to a method for multi-sensor adaptation and real-time data acquisition of a wearable device. Background technique [0002] In recent years, due to the innovation of sensor technology, especially the technological progress of Micro-electromechanical systems (MEMS) and biosensors (Biosensor), wearable smart devices containing a variety of micro-sensors continue to appear and are applied to the human body. The collection of relevant data leads to corresponding applications and services, such as smart homes in the field of automation control, positioning applications in security, and remote monitoring of human health. [0003] Common micro-electromechanical systems sensor (Micro-electromechanical systems, MEMS) and biosensor (Biosensor) data include the following categories: [0004] 1) Various physio...

AI Technical Summary

Problems solved by technology

[0008] 1. The problem of singleness: Due to technical limitations such as chip technology, low power requirements, and small size of wearable devices, the hardware of specific wearable smart devices often includes one or a few sensors, which can only collect specific information

Relevant manufacturers often focus on processing the relevant information collected by their own developed hardware devices, and the types of sensors supported are relatively single

[0009] 2. Compatibility issues: Different manufacturers implement different interfaces for the same type of sensor

This results in the fact that the same sensors are incompatible with each other, affecting the use of users

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