Wearable Device Monitoring Exercise Energy Consumption Based on Internet of Things

• Published in: Complexity (New York, N.Y.) Vol. 2021; no. 1
• Main Authors: Shi, Xiaomei, Huang, Zhihua
• Format: Journal Article
• Language: English
• Published: Hoboken Hindawi 2021; John Wiley & Sons, Inc; Wiley
• Subjects: Accuracy; Algorithms; Athletes; Data processing; Data transmission; Design; Energy consumption; Human body; Human motion; Internet of Things; Mathematical analysis; Sensors; Signal processing; Software; Sports; Wearable computers; Wearable technology
• ISSN: 1076-2787; 1099-0526
• DOI: 10.1155/2021/8836723

Computer technology and related Internet of things technology have penetrated into people’s daily life and industrial production; even in competitive sports training and competition, the Internet of things technology has also been a large number of applications. Traditional intelligent wearable devices are mainly used to calculate the steps of athletes or sports enthusiasts, corresponding physical data, and corresponding body indicators. The energy consumption calculated by these indexes is rough and the corresponding error is large. Based on this, this paper will design a wearable device which can accurately calculate and monitor sports energy consumption based on relevant sensors and Internet of things technology. The corresponding core algorithm is the step counting algorithm, which can accurately calculate the relationship between human motion and the corresponding energy consumption and feed back to the intelligent device. In the experiment, the wearable device designed in this paper is compared with the traditional intelligent device. The experiment shows that the wearable device proposed in this paper is more accurate in energy consumption estimation than the traditional device, and its corresponding energy consumption is relatively small.