Name
Abstract | ||
|---|---|---|
Understanding essential factors that influence urban citizens' workout activities, both aerobic and training, is important for public policy development and city planning. Mobile fitness app usage data, which describes who works out at what time and place, provides a good opportunity to figure out these key factors that influence human workout activities. This article investigates the mobile fitne... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCOM.2018.1700807 | IEEE Communications Magazine |
Keywords | Field | DocType |
Smart healthcare,Training,Urban areas,Smart devices,Data mining,Data collection,Public policy,Human factors | Time of day,Data collection,Names of the days of the week,Usage analysis,Computer science,Computer network,Public policy,Urban planning,Usage data,Marketing,Personal income | Journal |
Volume | Issue | ISSN |
56 | 4 | 0163-6804 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinlei Chen | 1 | 111 | 23.89 |
| Zheqi Zhu | 2 | 1 | 0.34 |
| Min Chen | 3 | 1121 | 62.51 |
| Yong Li | 4 | 2972 | 218.82 |