Name
Abstract | ||
|---|---|---|
In recent years, an increasing number of people have become concerned about their health. Most chronic diseases are related to lifestyle, and daily activity records can be used as an important indicator of health. Specifically, using advanced technology to automatically monitor actual activities can effectively prevent and manage chronic diseases. The data used in this paper were obtained from acc... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBME.2016.2573045 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Smart phones,Sensors,Legged locomotion,Feature extraction,Acceleration,Diseases,Gyroscopes | Online learning,Computer vision,Activity classification,Gyroscope,Computer science,Real-time computing,Feature extraction,Continuous training,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
64 | 3 | 0018-9294 |
Citations | PageRank | References |
5 | 0.44 | 20 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengfei Li | 1 | 5 | 0.44 |
| Yu Wang | 2 | 167 | 15.47 |
| Yu Tian | 3 | 104 | 3.39 |
| Tian-Shu Zhou | 4 | 182 | 10.18 |
| Jing-Song Li | 5 | 222 | 11.02 |