A smart home control system based on indoor location and attitude estimation
| Autor: | Haiping Huang, Zhenyi Fang, Xueyu Mao, Yiming Wu, Yipeng Ding, Mingliang Xiong |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Web server
business.industry Computer science 05 social sciences Fingerprint (computing) Control (management) 020207 software engineering 02 engineering and technology Fingerprint recognition computer.software_genre Home automation Human–computer interaction Embedded system Control system 0502 economics and business 0202 electrical engineering electronic engineering information engineering business Intelligent control computer Mobile device 050203 business & management |
| Zdroj: | CITS |
| Popis: | The emergence of new technologies about the smart home system provides more innovative ideas and solutions, and the smart home system based on the Internet of Things can achieve the convenience of life by sensing, interconnection and intelligent control. However, most methods of controlling the appliances are based on the expatiatory menu, and users usually need to choose the electrical appliances by page turning of the menu items, which is not convenient. Therefore, this paper proposed a distinctive system based on indoor location and attitude estimation. Further more, the indoor location algorithm is achieved with the combination of image pattern recognition and fingerprint matching. The user can choose the appliances that he wants and control them by touching the screen of the mobile device while the mobile device is pointing to the appliance. The prototype of the smart home system is implemented and the availability test is conducted. It proved that the solution will simplify the control operation procedure and improve the user's experience. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|