Name
Abstract | ||
|---|---|---|
The aim of this paper is to perform indoor presence management using smartphone. Our proposed method estimates user position and state by smartphone sensors. The position information is estimated by accelerometer and direction sensor. The state information is estimated using gravitational acceleration can be acquired by accelerometer. By using this system, it can estimate human position within 100 cm errors. In addition, this system can estimate the state of subject in 99.2 % accuracy. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23207-2_32 | GENETIC AND EVOLUTIONARY COMPUTING, VOL II |
Keywords | Field | DocType |
Presence management,Smartphone,Position estimate method,State estimate method | Gravitational acceleration,State information,Computer science,Accelerometer,Real-time computing,Artificial intelligence,Management system,Machine learning | Conference |
Volume | ISSN | Citations |
388 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takami Taninoki | 1 | 0 | 0.34 |
| Yoshinobu Furukawa | 2 | 0 | 0.34 |
| Hiroaki Matsumoto | 3 | 0 | 0.34 |
| Hiroki Tamura | 4 | 72 | 21.29 |
| Koichi Tanno | 5 | 57 | 22.05 |