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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77645 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-77645 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-776452023-07-07T17:14:24Z Data visualization and analysis for WiFi-based occupancy detection in smart homes Pan, Xingmeng Xie Lihua School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-03T09:08:35Z 2019-06-03T09:08:35Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77645 en Nanyang Technological University 50 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Pan, Xingmeng Data visualization and analysis for WiFi-based occupancy detection in smart homes |
description |
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. |
author2 |
Xie Lihua |
author_facet |
Xie Lihua Pan, Xingmeng |
format |
Final Year Project |
author |
Pan, Xingmeng |
author_sort |
Pan, Xingmeng |
title |
Data visualization and analysis for WiFi-based occupancy detection in smart homes |
title_short |
Data visualization and analysis for WiFi-based occupancy detection in smart homes |
title_full |
Data visualization and analysis for WiFi-based occupancy detection in smart homes |
title_fullStr |
Data visualization and analysis for WiFi-based occupancy detection in smart homes |
title_full_unstemmed |
Data visualization and analysis for WiFi-based occupancy detection in smart homes |
title_sort |
data visualization and analysis for wifi-based occupancy detection in smart homes |
publishDate |
2019 |
url |
http://hdl.handle.net/10356/77645 |
_version_ |
1772828822891134976 |