At present, there are many sports wristbands on the market. Basically, triaxial acceleration sensors, gyroscopes, and other components are built in. The difference is unique algorithms and software for each product, but the difference is not significant. Compared with the bracelet, the advantage of the bracelet is that it is small and easy to wear. The user can use the wristband to record real-time data such as exercise, sleep, and diet in daily life. The data is synchronized with the smart terminal and analyzed by the background application. Through data to guide the role of healthy life.
Many smart wristbands, such as step counting, calorie consumption, and sleep calculation, can be realized by using three-axis acceleration sensors, gyroscopes, and other sensing elements in the wristband. For example, the smartband records the user's daily walking situation and target achievement rate through a built-in three-axis acceleration sensor. However, generally, due to various technical reasons, the accuracy of sensor detection is not very high.
In addition to the need to use innovative algorithms and sensors, smart watches, wristbands and other wearable devices face the main technical challenges, or the long-standing problems of battery life.
At present, many wearable devices, especially health-related smart hardware, mostly have the function of measuring electrocardiogram or pulse monitoring. Extended measurement will be expanded to analyze comprehensive data such as exercise, sleep, and health, and you can understand your physical status through APP. The goal of health measurement. However, people have reservations about such wearable devices because they are mostly bulky or consume more power.
This is because the hardware of such products mostly includes processors, sensors, communication connections, memory and other parts. The basic sensors include acceleration sensors, gyroscopes, magnetometers, etc. The communication connection may include Bluetooth, USB, RF and other multi-angle transmission connections. Functionality, while such health devices also require basic security measures such as AES encryption.
At present, for these two problems, it is still necessary to rely on breakthroughs in consumer electronics-based MEMS sensing technologies such as accelerometers, and optimization and fusion of new algorithms. In addition, the research on the endurance capabilities of the wearable manufacturers for their own devices will also make further breakthroughs in wearable device technology and the market.
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