This contribution discusses how computer vision combined with art history can analyze the visual codes and artistic representations of embodied communication represented in medieval culture. Our computer-based detection algorithms are able to search directly for gestures in images and
thus avoid limitations of retrieval systems that search only textual annotations. As a result, art history is provided not only with a system that enables efficient access to large image datasets, but also a quantitative analysis of the variability and interrelation among gestures or between
gestures and other objects. We base our approach on one of four illustrated manuscripts of Eike von Repgow's (ca. 1180–ca. 1235) Sachsenspiegel (Mirror of the Saxons), which reveals a visual grammar that arranges the gestures to a certain extent, but within that framework,
the drafter composes freely and with artistic perspective.