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NaveGo: an open source MATLAB/GNU Octave toolbox for processing integr
NaveGo is an open source MATLAB/GNU Octave toolbox designed for processing integrated navigation systems, simulating inertial sensors and GNSS receivers, and profiling inertial sensors using methods like Allan variance—providing a community-driven simulation framework for navigation system design and analysis. I am reaching out to share an important update regarding the NaveGo project. Due to a shift in both my professional career and personal interests away from navigation systems, I have...
VS2008 C# App for the iRobot Roomba 600+ / Create 2. Based on the iRobot Create 2 Open Interface (OI) Specification. This is Kevin Gabbert's "C# CreateOI Framework", that I modified for the iRobot Create 2.
It displays all sensor values, and lets you drive and play songs on your Roomba.
FUBI is a framework for full body interaction using a depth sensor such as the Microsoft Kinect with OpenNI/NiTE or the Kinect SDK. It further supports the Leap Motion Controller. FUBI is written in C++ and includes a C#-Wrapper. Releases are tested on Windows 8.1, but there also exist Linux Code::Blocks project files.
Fubi's main functionality is gesture and posture recognition according to four gesture categories:
1.
xAffect is a software framework for online recording, processing and storage of multi sensordata. It was developed at FZI Research Center for Information Technology, Karlsruhe, Germany.
xAffect can be used as a flexible, customizable middleware between physiological sensors and applications which require online feature computation (e.g. biofeedback or affective computing).
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MutanT is an cross platform framework for performing multi-sensordata processing. It is not limited to any specific task but can be extended arbitrarily by users and developers. Data processing is performed by a chain of filters, a use can combine.
SIRS stands for "Smart Indicators for Reflection Support". SIRS is a framework for developing Indicators on top of sensor networks in web-based and ambient environments for dataaggregation, information visualization and context adapation.
MobHealth is an extensible mobile health framework/API written in JavaME. The current version supports two sensor-data formats (e.g. used by AliveTec). It already provides higher-level classes for data recognition like body position or hypoxia-detection.