Name
Abstract | ||
|---|---|---|
With the global economic growth, fitness club is developing rapidly in the world. Meanwhile, the fitness industry is booming especially for urban white-collar population. In the circumstances, people need more scientific and practical guidance to build their body. In this paper, we design an Internet of things (IoT) based fitness system to monitor the health statuses of exercisers. The system provides guidance for exercisers. When exercising, the exercise data is collected by sensors and fitness band. Subsequently, these data are sent to the system to be analyzed. With the help of artificial intelligence technology, the system can extract useful guidance information for users’ body building. In this paper, we will describe the details of the system and further reach out to the implementation technologies. The design of this kind of system is a trend for the future fitness application. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jpdc.2017.05.006 | Journal of Parallel and Distributed Computing |
Keywords | Field | DocType |
Fitness,IoT,Sensor,Fitness band,Artificial intelligence,Body building | Data science,Population,Computer science,Internet of Things,Artificial intelligence,Club,Distributed computing | Journal |
Volume | Issue | ISSN |
118 | Part | 0743-7315 |
Citations | PageRank | References |
6 | 0.45 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Binbin Yong | 1 | 21 | 5.23 |
| Zijian Xu | 2 | 6 | 0.45 |
| Xin Wang | 3 | 587 | 177.85 |
| Libin Cheng | 4 | 6 | 0.45 |
| Xue Li | 5 | 2196 | 186.96 |
| Xiang Wu | 6 | 6 | 0.78 |
| Qingguo Zhou | 7 | 103 | 29.48 |