Wearable Device Monitoring Exercise Energy Consumption Based on Internet of Things

Abstract

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.

Recent advancements in flexible and wearable sensors for biomedical and healthcare applications

“…They have traced physical signals so as to monitor human-related activities (such as facial expressions, body motion, and voices) [45-53] and vital signs, which include body temperature [54-60], heart rate [61-66], blood pressure [67][68][69][70][71][72], calories burned [73,74], and objective electrophysiological indicators such as electrocardiography (ECG) [75][76][77], electroencephalography (EEG) [78][79][80], and electromyography (EMG) [81][82][83]. And the targeted body locations where health indicators and physiological parameters can be measured include wrist, ankle, neck, chest, thigh, earlobe, forehead, eyes, etc [84][85][86]. Flexible and wearable physical sensors work based on relative changes of electrical parameters, such as resistance [87][88][89][90][91], capacitance [92][93][94], triboelectricity [95][96][97], or piezoelectricity [98][99][100].…”

The Practice of Intelligent Auxiliary Rib Equipment in the Flipped Classroom Teaching Mode of College Physical Education

“…In the traditional physical education teaching process, many teachers use the way of explanation and demonstration to teach [6]. However, students lack the active thinking process in this learning process, always imitate and copy the teacher's movements, and mechanically accept passively, which, to a certain extent, hinders the dispersion of students' free thinking and restricts their creativity [7][8][9][10]. For such a teaching method, students are prone to rejection and resentment, which is not conducive to the teacher's teaching.…”

Application of Smart Wearable Devices in Sports Performance Analysis and Enhancement

“…Wearable Computer (Wearable Computer) design research results, as well as from the software support for data interaction cloud interaction to achieve the powerful functions of smart wearable devices. Literature [20] conceptualized a wearable device with accurate energy consumption measurement using sensor technology and IoT technology as the underlying foundation, and its energy consumption measurement data is more precise than traditional devices in simulated numerical performance tests. Literature [21] constructed a wearable dual-range inertial and magnetic sensor system, which allows for a comprehensive investigation of biomechanical parameters with a wide dynamic range and realizes the identification of athletic outbursts and data extraction.…”