Data visualization and analysis for WiFi-based occupancy detection in smart homes
This project aims to visualize and analyze data from the existing WiFi-based indoor occupancy detection systems. The system has two routers put in a room, acting as transmitter and receiver respectively. By visualizing and analyzing the signals captured by the receiver, the occupancy status of this...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/77645 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This project aims to visualize and analyze data from the existing WiFi-based indoor occupancy detection systems. The system has two routers put in a room, acting as transmitter and receiver respectively. By visualizing and analyzing the signals captured by the receiver, the occupancy status of this room can be determined and displayed. The final output is a web page containing multi-line charts that contain visualized real-time data coming from the WiFi system and the analysis result which shows the occupancy status of the room. Python is used for data processing and analysis, while HTML and d3 library in Javascript are used for data visualization. |
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