vlator/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
Discovered public repositories for vlator in the GitHub catalog.
Lectures on scientific computing with python, as IPython notebooks.
Android App for Fraunhofer Mobility Challenge. This app collects and ad-hoc analyzes GPS sensor records. It identifies and label bike tracks automatically while storing the GPS data points on the SD cards of the phone. The app is intelligent enough to distinguish between bike and not bike movements. Example, if someone carries his bike up the hill it shall be able to detect this and does not count this part of the full track as a bike track. At the end it can be used to produce a short summary of records for the current day, and the running total till that day: - Number of GPS points recorded - Number of bike tracks to work - Length of bike tracks - Average and top speed See task description pdf [CPels_Mobility Challenge]
Base project providing required data structures and basic functionality. To be included in build path of all MobilityChallenge specific projects
Does feature extraction on GPS logs created with the GPSSampler Android app. Creates training data .csv file to be used in RapidMiner.
An android app to sample GPS readings for 2 modes. Appends a mode label to GPS traces and writes them to .csv file. Current date is used as filename. The GPS is sampled at the fastest rate allowed by the android system.
A Catrobat IDE for Android.
This is a sample application that can be used to estimate the distance of the closest person to a camera.