The smart crutch system is a device that integrates sensors, communication technology and artificial intelligence algorithms to improve the quality of life and safety of the elderly and people with limited mobility. This article will use the STM32 microcontroller as the core to introduce in detail the design of the intelligent crutch system.
1. System Overview
The smart crutch system is mainly composed of IRF1405PBF sensor, control module, communication module and display module. The sensor is responsible for sensing the user's environment and body status, the control module processes sensor data and controls the function of the crutch, the communication module interacts with the cloud platform or mobile phone, and the display module displays relevant information to the user.
2. Sensor selection
The core component of the smart crutch system is the sensor, which mainly includes an acceleration sensor, a gyroscope, a pressure sensor and a heart rate sensor. The acceleration sensor and gyroscope are used to detect the user's walking posture and falls, the pressure sensor is used to detect the support strength of the crutches, and the heart rate sensor is used to monitor the user's heart rate.
3. STM32 microcontroller selection
The STM32 microcontroller is a low-power, high-performance embedded system that is very suitable for the design of smart cane systems. Depending on the system requirements, the appropriate model can be selected, such as the STM32F103 series. This series of microcontrollers has rich peripheral interfaces and processing capabilities, which can meet the system's requirements for data processing and control.
4. System design
First, connect the sensor module to the STM32 microcontroller and transmit data through the I2C or SPI interface. Then, write the corresponding driver to read the sensor data and process it. For example, acceleration sensor and gyroscope data can be used to implement posture detection and fall detection algorithms; pressure sensor data can be used to implement support strength detection algorithms; heart rate sensor data can be used to implement heart rate monitoring algorithms.
Next, the processed data is sent to the communication module through the USART or USB interface. The communication module can choose Bluetooth or Wi-Fi module to send data to the cloud platform or mobile phone. The cloud platform can further analyze and process the data, such as detecting anomalies or sending alerts. The mobile phone can display relevant information and provide remote control functions through the APP.
Finally, the relevant information is displayed to the user through the display module. The display module can choose LCD or OLED screen to display the user's posture, support strength, heart rate and other information. In addition, you can also add sound reminder functions, such as an alarm sound when you fall.
5. Summary
The design of an intelligent crutch system based on STM32 microcontroller can effectively improve the quality of life and safety of the elderly and people with mobility impairments. By rationally selecting sensors and writing corresponding algorithms, the user's posture, support strength, heart rate and other information can be detected and monitored. Use the communication module to interact with the cloud platform or mobile phone to realize remote monitoring and remote control functions. Display relevant information to users through the display module to improve user awareness and safety.