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In this paper, we investigate how discourse context in the form of short-term memory can be exploited to automatically group consecutive strokes in digital freehand sketching. With this machine learning approach, no database of explicit object representations is used for template matching on a complete scene—instead, grouping decisions are based on limited spatio-temporal context. We employ two different...
We present Lg, a computational framework for the development and scientific evaluation of assistive technologies for sketch-based interfaces on the Mac OS X platform. Lg provides its own Python API that allows access to raw and refined sketch data, machine learning algorithms, and scientific analysis tools. While it has been designed with special attention to time series analysis tasks and machine...
We present a multi-modal video analysis framework for life-logging research. Domain-specific approaches and alternative software solutions are referenced, then we briefly outline the concept and realization of our OS X-based software for experimental research on segmentation of continuous video using sensor context. The framework facilitates visual inspection, basic data annotation, and the development...
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