scholarly journals Wearable Device Monitoring Exercise Energy Consumption Based on Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaomei Shi ◽  
Zhihua Huang

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.

Author(s):  
Wenfeng Xu

AbstractTaking human movements has very good prospects of application in sports, animated projects, medicine and health and other areas. This article aims to study the human motion capture system in sports performances based on the Internet of Things technology and wireless inertial sensors. This article first introduces the theory and characteristics of the Internet of Things and motion capture; next, according to the different characteristics of the sensors in the inertial motion capture system, a two-step Kalman filter is proposed to process the accelerometer and the magnetometer separately and, finally, the structure of this article. The human body motion model is used to analyze the acceleration dynamic error that occurs during the motion. In addition, an inertial motion capture system is constructed to obtain and visualize the structure of each motion node. The experimental results in this paper show that the Kalman filtering algorithm can ensure the accuracy of angle estimation under different motion states and has good fault tolerance to external interference. Among them, the error of the static state is reduced by 23.1%.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Longxing Chen ◽  
Ping Han

Aiming at the current situation of complicated energy-consuming equipment and large energy consumption in the current enterprise, a reference model scheme of an enterprise energy efficiency management platform based on the Internet of Things is analyzed and the dynamically collected energy consumption information is analyzed using the Internet of Things technology and data mining technology. They provide decision-making support for enterprise energy efficiency management decisions and formulation of energy-saving and emission reduction plans. This article analyzes the current status of energy efficiency management in buildings and points out several pain points in energy efficiency management, including installation difficulties, high software development costs, upgrade difficulties, long debugging cycles, and closed systems, and introduces intelligent power distribution monitoring based on the Internet of Things technology to solve these difficulties. In the system, we analyze the actual value brought by energy efficiency management technology through case studies. It can collect scattered information through the Internet of Things, gather it together to form massive data, and obtain the corresponding information through data analysis and processing. The design is reasonable, the practicality is strong, the use effect is good, and it is easy to promote and use.


2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
L. Zakharkina ◽  
Y. Okhrimchuk

The article analyzes the degree of implementation of information and communication technologies, in particular the Internet of Things in Europe at all levels, from individuals and households to large enterprises. An assessment of the regional distribution of internet use across European countries was performed to identify dependence between the pace of development and level of utilization of Internet of Things technology. The purpose of this study is to analyze the level of mastering of information and communication technologies by European citizens and enterprises, in particular the state of development and the level of application of the Internet of Things. In the course of the research, the methods of systematic and comparative analysis, statistical research and logical generalization were used. Based on the processing of European statistical reports, discrepancies were found between the degree of development of Internet of Things technologies, since the northern and western regions have a more developed technological base than the southern or eastern regions. Among private users of IoT technologies, technological solutions for managing the power consumption of a smart home are most popular, and among smart devices for connecting to the network, they most often choose to use the internet on a TV. The analysis of internet userbase indicates the existence of a divide in digital area, and its likely increase in the next few years, due to the gradual introduction of 5G Internet services. Based on the results of the analysis of the IT infrastructure of European enterprises, the most popular tools for applying Internet of things technology were identified. The analysis showed that European enterprises most frequently choose smart meters, smart lamps, and smart thermostats to optimize energy consumption in the premises of the enterprise among other devices and systems that can be monitored or remotely controlled via the Internet. It was found that large enterprises mostly used devices or systems to optimize energy consumption in the premises of the enterprise, and among medium and small enterprises, tools for optimizing logistics were most often used.


Author(s):  
Zahra Valadkhani ◽  
Farhad Lotfi ◽  
Branka Rodić

Today, Information Communication Technology has brought many benefits to have a better life. Meanwhile, the concept of the Internet of Things (IoT), which has transformed the traditional lifestyle into a modern lifestyle and is growing rapidly, is of great importance. This research deals with the critical challenges of IoT. Although not much time has passed since the advent of the concept of the IoT, today the Internet of Things has faced a great deal of complexity in the industry, which requires in-depth studies to realise its potential and challenges. This study introduces and examines IoT challenges including security and privacy, scalability, interoperability, mobility, protocol & standardisation, and energy consumption. In this study, the relationship between these challenges has been clearly defined. Finally, based on the research, some main challenges or sub-challenges considered for these challenges.


2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.


Author(s):  
Donghui Zhang ◽  
Ruijie Liu

Abstract Orienteering has gradually changed from a professional sport to a civilian sport. Especially in recent years, orienteering has been widely popularized. Many colleges and universities in China have also set up this course. With the improvement of people’s living conditions, orienteering has really become a leisure sport in modern people’s life. The reduced difficulty of sports enables more people to participate, but it also exposes a series of problems. As the existing positioning technology is relatively backward, the progress in personnel tracking, emergency services, and other aspects is slow. To solve these problems, a new intelligent orienteering application system is developed based on the Internet of things. ZigBee network architecture is adopted in the system. ZigBee is the mainstream scheme in the current wireless sensor network technology, which has many advantages such as convenient carrying, low power consumption, and signal stability. Due to the complex communication environment in mobile signal, the collected information is processed by signal amplification and signal anti-interference technology. By adding anti-interference devices, video isolators and other devices, the signal is guaranteed to the maximum extent. In order to verify the actual effect of this system, through a number of experimental studies including the relationship between error and traffic radius and the relationship between coverage and the number of anchor nodes, the data shows that the scheme studied in this paper has a greater improvement in comprehensive performance than the traditional scheme, significantly improving the accuracy and coverage. Especially the coverage is close to 100% in the simulation experiment. This research has achieved good results and can be widely used in orienteering training and competition.


2014 ◽  
Vol 42 (2) ◽  
pp. 321-330 ◽  
Author(s):  
YaPing Chang ◽  
XueBing Dong ◽  
Wei Sun

We studied the mechanism of the influence of the Internet of Things (IOT) product characteristics on consumer purchase intention. The results of a survey of 360 consumers showed that 6 dimensions of IOT product characteristics influence purchase intention; namely connectivity, interactivity, telepresence, intelligence, convenience, and security. We found that customer experience was the key mediating variable in the relationship between IOT product characteristics and purchase intention. Connectivity, interactivity, telepresence, intelligence, convenience, and security all positively influenced purchase intention via functional experience. Furthermore, connectivity, telepresence, convenience, and security positively influenced purchase intention via emotional experience. Our findings in the study provide some points of reference for improvement of IOT product design.


Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.


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