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Schneider, Stefanie ORCID logoORCID: https://orcid.org/0000-0003-4915-6949; Vollmer, Ricarda; Ludwig, Elisa und Maget Dominicé, Antoinette ORCID logoORCID: https://orcid.org/0000-0001-9056-4544 (2024): Transparent, Interconnected, Accessible? The State of Digital Provenance Research. DH: Digital Humanities 2024, Arlington, VA, USA, 06. - 09. August 2024. Karajgikar, Jajwalya; Janco, Andrew und Otis, Jessica (eds.) : In: Digital Humanities 2024: Book of Abstracts, Genf: Zenodo. pp. 614-618

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Abstract

The theoretical exploration of gesture and posture as forms of non-verbal communication can be traced back to the 17th century (Knowlson 1965). However, its integration into the study of the visual arts has been sporadic, as exemplified by Warburg’s analysis of pathos formula influenced by ancient traditions (Warburg 1998). This scattered focus may be due to the historical reliance on manual data processing and the lack of a systematic vocabulary for categorizing gestures. In response to this research deficit, our study focuses on the quantitative investigation of gesture and posture in the visual arts. This research extends own previous work in Springstein et al. (2022) and Schneider / Vollmer (2023). Our approach involves two modules: Human Pose Estimation (HPE), to identify keypoints in human figures, and Human Pose Retrieval (HPR), to classify these keypoints based on their proximity to each other. Previous applications of HPE in art history, such as in Impett / Süsstrunk (2016) and Madhu et al. (2023), have been limited to specific data sets, highlighting the need for broader research in this field.

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