Name
Abstract | ||
|---|---|---|
Aiming at the serious social problems of increasingly population aging, we designed a system to identify users' daily behavior, which based on various low power sensors as well as speech recognition and synthesis technology. The test in the laboratory shows that the system can perform the corresponding operation well and is more practical. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCE-TW46550.2019.8991722 | 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW) |
Keywords | DocType | ISBN |
low power sensors,speech recognition,synthesis technology,voice based home behavior self-management system,social problems,elderly | Conference | 978-1-7281-3280-8 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liang Zhao | 1 | 131 | 24.39 |
| Haibao Chen | 2 | 3 | 2.75 |
| Jinjun Liu | 3 | 4 | 6.38 |
| Shenghui Zhao | 4 | 33 | 14.29 |
| Guilin Chen | 5 | 6 | 1.85 |