Spatiotemporal similarity search in 3D motion capture gesture streams

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

16 Citaten (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.
Originele taal-2Engels
TitelAdvances in Spatial and Temporal Databases
Subtitel14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings
RedacteurenC. Claramunt, M. Schneider, R. Chi-Wing Wong, L. Xiong, W.-K. Loh, C. Shahabi, K.-J. Li
Aantal pagina's18
ISBN van elektronische versie978-3-319-22363-6
ISBN van geprinte versie978-3-319-22362-9
StatusGepubliceerd - 2015
Extern gepubliceerdJa
Evenement14th International Symposium on Spatial and Temporal Databases (SSTD) - Hong Kong University of Science, Hong Kong, China
Duur: 26 aug 201528 aug 2015
Congresnummer: 14

Publicatie series

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


Congres14th International Symposium on Spatial and Temporal Databases (SSTD)
Verkorte titelSSTD 2015
StadHong Kong
Internet adres


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