The Most Advanced Time Series Platform
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Updated
Sep 30, 2026 - Java
The Most Advanced Time Series Platform
An Android framework that provides Mobile Sensing to your apps.
Generates Akamai x-acf-sensor-data header for all mobile application, accross all websites.
Android app for sending sensor data via Open Sound Control (OSC).
An android app that showcases raw data from various sensors in a smartphone
Code for a scalable data collection from multiple sensors (IMU, infrared camera, EMG, EEG, GSR, HRM, environmental sensors, eye tracker).
Stream processing of simulated on-vehicle sensors data
Send accelerometer data using TCP sockets from an Android cellphone.
Android app designed to perform the Fingerprinting training phase, by collecting and recording the measured beacons' RSSI value, main sensors' readings and the orientation, for each x,y position.
View real-time data form the device's magnetic field sensor.
Android app designed for navigation and localization in the Museum of Computation in IST-Taguspark, that uses sensor data (Dead Reckoning) to identify the user's trajectory and subsquent position.
Android app that collects data from the three main smartphone sensors (accelerometer, gyroscope and magnetometer) and saves it to a csv. file.
Application to collect the sensor data on wearable device with wear OS.
Tool which collects Sensor Data from Android Wear and uploads the data to Google Drive
基于物联网的共享智能电动游船管理平台
Master Thesis: Android Wear-Mobile Sensor Dashboard for collecting accelerometer and gyro data, and sending those to IBM Bluemix with MQTT protocol
This Git Contains The Java Code For Sensors That Are Available In The Smartphones And Shows Their Current Working And Maker Details With Max Input And Output
Android app for sensor data viewing, also utilized as aggregation medium between Stations & Server.
Prototype java application for using building sensor data to produce utilization reports and provide live viewing of building capacity. Copied from original gitlab repo. Created for the class CIS*4450 at the University of Guelph
Android app that uses sensor data from the device to gain information of various user contexts.
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