Spatiotemporal similarity search in 3D motion capture gesture streams

C. Beecks, M. Hassani, J. Hinnell, Daniel Schüller, B. Brenger, I. Mittelberg, T. Seidl

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

16 Citations (Scopus)


The question of how to model spatiotemporal similarity between gestures arising in 3D motion capture data streams is of major significance in currently ongoing research in the domain of human communication. While qualitative perceptual analyses of co-speech gestures, which are manual gestures emerging spontaneously and unconsciously during face-to-face conversation, are feasible in a small-to-moderate scale, these analyses are inapplicable to larger scenarios due to the lack of efficient query processing techniques for spatiotemporal similarity search. In order to support qualitative analyses of co-speech gestures, we propose and investigate a simple yet effective distance-based similarity model that leverages the spatial and temporal characteristics of co-speech gestures and enables similarity search in 3D motion capture data streams in a query-by-example manner. Experiments on real conversational 3D motion capture data evidence the appropriateness of the proposal in terms of accuracy and efficiency. © Springer International Publishing Switzerland 2015.
Original languageEnglish
Title of host publicationAdvances in Spatial and Temporal Databases
Subtitle of host publication14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings
EditorsC. Claramunt, M. Schneider, R. Chi-Wing Wong, L. Xiong, W.-K. Loh, C. Shahabi, K.-J. Li
Number of pages18
ISBN (Electronic)978-3-319-22363-6
ISBN (Print)978-3-319-22362-9
Publication statusPublished - 2015
Externally publishedYes
Event14th International Symposium on Spatial and Temporal Databases (SSTD) - Hong Kong University of Science, Hong Kong, China
Duration: 26 Aug 201528 Aug 2015
Conference number: 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)


Conference14th International Symposium on Spatial and Temporal Databases (SSTD)
Abbreviated titleSSTD 2015
CityHong Kong
Internet address


  • 3D motion capture data
  • Co-speech gestures
  • Dynamic time warping
  • Gesture matching distance
  • Gesture signature
  • Similarity search
  • Spatiotemporal data
  • Streams


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