A smart bracelet is a wearable device designed to monitor and track various health-related metrics in real time. It allows users to keep track of their daily activities, such as steps taken, heart rate, sleep patterns, and more. The data collected by the bracelet can be synced with smartphones or tablets, offering valuable insights into personal health and fitness. Additionally, many smart bracelets have social features that enable users to share their progress on social media, encouraging a more active and healthy lifestyle.
Figure 1_1 A smart bracelet
The basic system of a smart bracelet typically consists of several key components: a power module for charging, a control unit (such as a microcontroller), a Bluetooth module for wireless communication, a memory module for data storage, and an accelerometer module for motion detection. The accelerometer plays a crucial role in tracking movement and detecting changes in activity levels. By analyzing the acceleration data, the bracelet can determine whether the user is walking, running, or sleeping. The memory module stores this data temporarily before it is sent via Bluetooth to a connected device. However, in this simplified version, we will transmit the data directly to the mobile application in real time, eliminating the need for intermediate storage. This approach also allows for immediate visualization of the data through a dynamic line chart displayed on the app.
Figure 1_2 A smart bracelet core circuit board
2. How to Achieve Step CountingYou might be wondering—how can a single accelerometer detect steps and assess sleep quality? The answer lies in the way accelerometers work. These sensors measure acceleration along three axes: X, Y, and Z. When the user is stationary, the readings fluctuate around the gravitational acceleration. During deep sleep, the acceleration remains relatively stable for extended periods. When the user moves their arm while walking, the acceleration data follows a specific pattern. By analyzing these patterns, the bracelet can accurately count steps and evaluate sleep quality. This makes the accelerometer a powerful tool for health monitoring without requiring additional complex sensors.
3. Expected Effect ConceptAs mentioned earlier, for simplicity, we are not using an onboard memory module to store data offline. Instead, we will send the sensor data directly to a mobile application in real time and visualize it dynamically using a line chart. The system includes a microcontroller, a Bluetooth module, an accelerometer, and a power supply. The microcontroller processes the sensor data and sends it wirelessly to the app via Bluetooth. On the client side, the data is displayed in real time, allowing users to see their activity trends instantly. To enhance user interaction, a slider is added to adjust the step detection threshold, giving users more control over how steps are counted. In commercial smart bracelets, data is usually stored locally and then synchronized periodically with a server. This project simplifies that process for educational and demonstration purposes.
Figure 3_1 Expected renderings
4. Overall Hardware DesignAs shown in Figure 4_1, the hardware design is simpler than previous projects like the wireless fan. We use the familiar HC-06 Bluetooth module for wireless communication. For motion sensing, we use the MPU6050 module, which is commonly used in drones. This module combines both an accelerometer and a gyroscope, making it versatile for applications like balance control, gesture recognition, and camera stabilization. In this project, we only utilize the accelerometer function. It's important to note that the power supply pins of the microcontroller module are not visible in the diagram. Make sure to include them when designing the circuit to ensure proper operation.
Figure 4_1 Hardware circuit diagram
Photovoltaic Dual-Axis Tracking Bracket
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Hebei Shuobiao New Energy Technology Co., Ltd. , https://www.pvbracketsystem.com