The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Gender discrimination in biological motion displays based on dynamic cues
Open accessAbstract
Studies of human locomotion have found that male and female walkers differ in terms of lateral body sway, with males tending to swing their shoulders from side to side more than their hips, and females tending to swing their hips more than their shoulders. Experiments reported here demonstrate that naive viewers can identify the gender of the figure in a biological motion display very reliably when the display contains gender-specific lateral body sway. Sensitivity to gender is high even for displays containing only a fraction of a step cycle. This dynamic cue dominates structural cues based on torso shape ('centre-of-moment') when the cues are set in opposition. It is mediated by gender-specific differences in the velocity of shoulder and hip dots, not by positional differences in shoulder and hip dots during the step cycle.
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Perceiving affect from arm movement
Pollick, F. E., Paterson, H. M., Bruderlin, A., & Sanford, A. J. (2001) · Cognition · doi:10.1016/s0010-0277(01)00147-0 · Cited by 616
Miller, S. L., Maner, J. K., & Becker, D. V. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0018086 · Cited by 177
Perry, A., Troje, N. F., & Bentin, S. (2010) · Social Neuroscience · doi:10.1080/17470910903395767 · Cited by 161
Advances in automatic gait recognition
Nixon, M. S., & Carter, J. N. (2004) · Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings. · doi:10.1109/afgr.2004.1301521 · Cited by 92
Metadata
- Venue
- Proceedings of the Royal Society of London. Series B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 1994-12-22
- Volume
- 258
- Issue
- 1353
- Pages
- 273-279
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- OpenAlex
- W2080608870
- Cited by
- 353
- References
- 25
- FWCI
- 0.21
- Type
- journal article
- Language
- en
- Open access
- green
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