Activity classification using FFT + indoor localization using Particle-Filters or RSSI signals
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Updated
Jan 6, 2018 - Java
Activity classification using FFT + indoor localization using Particle-Filters or RSSI signals
JavaFX app simulating signal strength location with trilateration 🤖
A nl80211 C/C++ library for monitoring signal strength of WiFi networks
Application developed with Ionic 3 + MQTT
Wireless Networks [CS 743] Course Project - IIT Bombay Spring 2019
CamBurglar: Detection of Hidden Wi-Fi Cameras
Weighted centroid and basic trilateration on RSSI values from WIFI APs and BLE beacons.
A finer-level sequential dataset of WiFi received signal strengths (RSS)
Using WiFi signals (RSSI values) to predict indoor locations
get advertising data from other beacon devices + matlab code
Bluetooth Low Energy monitor for Linux
Using Machine Learning method for predicting location and room classification with Received Signal Strength (RSSI) from nearby Access Points (Wi-Fi).
This Repository is about Tracking Workers and Objects in Construction Sites through Bluetooth Low Energy Technology
My engineering capstone project. Uses wireless LoRa transceivers to determine the precise location of a wearable device in industrial environments. Wearable device can detect falls and other dangerous conditions using onboard sensors. Publishes information over MQTT to client based GUI.
This repository is for an Indoor Positioning System (actually designed for outdoor positioning) designed for getting the positions of cars during a race.
An indoor localization app that will provide room level accuracy using RSSI measurements of the Access Points.
Online Indoor Localization Using DOA of Wireless Signals
The subject of this project is to make a system that measures how many people are in the room with using Bluetooth signals.
Dataset RSSI values for LoRa technology in the 2.4 GHz ISM Band. The data were measured using the iM828A radio module. For future research purposes RSSI dataset obtained from the measurement campaigns.
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