Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 413

The DOI matches its Crossref record.

Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques

Camurri, Antonio, Lagerlöf, Ingrid, Volpe, Gualtiero·2003·International Journal of Human-Computer Studies

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s1071-5819(03)00050-8

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 9

  1. Boone, 1998, Children's decoding of emotion in expressive body movement, Developmental Psychology, 34, 1007, 10.1037/0012-1649.34.5.1007 · doi:10.1037/0012-1649.34.5.1007
  2. Bobick, 2001, The recognition of human movement using temporal templates, IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 257, 10.1109/34.910878 · DOI · Paper page
  3. Bradsky, 2002, Motion segmentation and pose recognition with motion history gradients, Machine Vision and Applications, 13, 174, 10.1007/s001380100064 · DOI · Paper page
  4. Camurri, A., De Poli, G., Leman, M., 2001. MEGASE—A multisensory expressive gesture applications system environment for artistic performances. Proceedings of the International Conference CAST01, GMD, St Augustin-Bonn, pp. 59–62.
  5. Dittrich, 1996, Perception of emotion from dynamic point-light displays represented in dance, Perception, 25, 727, 10.1068/p250727 · DOI · Paper page
  6. Lucas B. , Kanade, T., 1981. An iterative image registration technique with an application to stereo vision. In: Proceedings of the International Joint Conference on Artificial Intelligence, 1981.
  7. Van Meel, 1993, Children's interpretation of dance expressions, Empirical Studies of the arts, 11, 117, 10.2190/V69N-VB0T-A9Q3-TJ04 · DOI
  8. Wallbott, H.G., 1980. The measurement of human expressions, In: Walbunga von Rallfer-Engel, Aspects of communications, pp. 203–228.
  9. Zhao, L., 2001. Synthesis and acquisition of Laban movement analysis qualitative parameters for communicative gestures. Ph.D. Dissertation, University of Pennsylvania.

Cited by

See all 413

Metadata

Authors
Camurri, A., Lagerlöf, I., & Volpe, G.
Venue
International Journal of Human-Computer Studies
Publisher
Elsevier BV
Published
2003-07
Volume
59
Issue
1-2
Pages
213-225
ISSN
1071-5819 (ISSN-L)
OpenAlex
W2058518679
Cited by
413
References
0
FWCI
17.89
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques. https://app.cochat.ai/papers/10.1016/s1071-5819(03)00050-8
The paper
Camurri, A., Lagerlöf, I., & Volpe, G. (2003). Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques. International Journal of Human-Computer Studies. https://doi.org/10.1016/s1071-5819(03)00050-8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.