Activity recognition using smart phone acceleroeter with naive Bayes classifier for emergency cases /
Activity is one of the main components of context-aware study besides time, location and identity. Accurate recognition of user activity allows a device or application to deliver more accurate response to the user based on what it is designed for. Accelerometer has become one of the commonly used se...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 语言: | English |
| 出版: |
Gombak, Selangor :
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia,
2016
|
| 主题: | |
| 在线阅读: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|