Distributed Modular Toolbox for Multi-modal Context Recognition

Abstract. We present a GUI-based C++ toolbox that allows for building distributed, multi-modal context recognition systems by plugging together reusable, parameterizable components. The goals of the toolbox are to simplify the steps from prototypes to online implementations on low-power mobile devices, facilitate portability between platforms and foster easy adaptation and extensibility. The main features of the toolbox we focus on here are a set of parameterizable algorithms including different filters, feature computations and classifiers, a runtime environment that supports complex synchronous and asynchronous data flows, encapsulation of hardware-specific aspects including sensors and data types (e.g., int vs. float), and the ability to outsource parts of the computation to remote devices. In addition, components are provided for group-wise, event-based sensor synchronization and data labeling. We describe the architecture of the toolbox and illustrate its functionality on two case...

• Type: Conference
• Year: 2006
• Where: ARCS
• Authors: David Bannach, Kai S. Kunze, Paul Lukowicz, Oliver Amft
• Keywords: ARCS 2006, GUI-based C++ Toolbox, Multi-modal Context Recognition, Software Engineering, Toolbox