Abstract
Although the validity of the physical activity questionnaire is low, the questionnaire is still the most commonly used measurement tool for physical activity research in China in the past 10 years. In the era of big data, research in the field of physical activity in China needs to be more effective, economical, convenient, and suitable for long-term, large-sample research tools. Acceleration detection technology, heart rate detection technology, and GPS technology are the mainstream technologies for measuring the energy consumption of physical activity in wearable devices. The application of data mining and machine learning methods further enhances the validity of the test. Domestic smart wearable devices are not effective in estimating energy consumption but still have a large space for technical improvement. Smart wearable devices have a very broad application prospect in the field of big data research in physical activity. The impact of smart wearable device technology and big data analysis methods on physical activity research will be far-reaching and may lead to major changes in research concepts, research tools, and data analysis methods.
Highlights
In 1965, one of Intel’s founders, Gordon Moore, proposed Moore’s Law by long-term observation and summary of the development of computer hardware. e law states that the number of transistors that can be accommodated on an integrated circuit of the same area is approximately one
Heart rate testing technology has been continuously improved. ere are two main types of heart rate testing techniques for smart wearable devices: (1) ECG measurement technology, the subject needs to wear a wireless heart rate chest strap, which records the heartbeat. e bioelectrical signal measures the heart rate and its principle is similar to the electrocardiogram test. e method has the advantages of high test accuracy and good test stability under motion; the disadvantage is that the heart rate chest strap needs to be worn on the chest and the user’s comfort may be affected, which is not conducive to the user’s long-term continuous use
There are some limitations in estimating heart rate-energy consumption: (1) heart rate 82 is vulnerable to emotions; (2) when energy consumption is low, heart rate estimation energy consumption error is large; (3) everyone’s heart rate is different. ere is a big difference in heart rate response between different exercise loads; that is, there is a large individual difference in the relationship between heart rate and energy expenditure. e standard heart rate method estimates energy consumption and requires a “calibration” in the laboratory to determine the linear relationship between heart rate and energy expenditure for the subject
Summary
In 1965, one of Intel’s founders, Gordon Moore, proposed Moore’s Law by long-term observation and summary of the development of computer hardware. e law states that the number of transistors that can be accommodated on an integrated circuit of the same area is approximately one. E law states that the number of transistors that can be accommodated on an integrated circuit of the same area is approximately one. In 1965, one of Intel’s founders, Gordon Moore, proposed Moore’s Law by long-term observation and summary of the development of computer hardware. The processing speed and storage capacity of computer hardware will double every 1∼2 years. Driven by the rapid development of information technology, computers, and the Internet, human society has rapidly entered a new digital age. An era of large-scale production, sharing, and application of data has been launched
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