Neural Generative Model for Minimal Biological Motion Patterns Evoking Emotional Impressions

Author(s):  
Asuka Minami ◽  
Hideyuki Takahashi ◽  
Midori Ban ◽  
Yutaka Nakamura ◽  
Hiroshi Ishiguro
Perception ◽  
10.1068/p6140 ◽  
2009 ◽  
Vol 38 (4) ◽  
pp. 522-532 ◽  
Author(s):  
Daniel R Saunders ◽  
Julia Suchan ◽  
Nikolaus F Troje

Biological-motion perception consists of a number of different phenomena. They include global mechanisms that support the retrieval of the coherent shape of a walker, but also mechanisms which derive information from the local motion of its parts about facing direction and animacy, independent of the particular shape of the display. A large body of the literature on biological-motion perception is based on a synthetic stimulus generated by an algorithm published by James Cutting in 1978 ( Perception7 393–405). Here we show that this particular stimulus lacks a visual invariant inherent to the local motion of the feet of a natural walker, which in more realistic motion patterns indicates the facing direction of a walker independent of its shape. Comparing Cutting's walker to a walker derived from motion-captured data of real human walkers, we find no difference between the two displays in a detection task designed such that observers had to rely on global shape. In a direction discrimination task, however, in which only local motion was accessible to the observer, performance on Cutting's walker was at chance, while direction could still be retrieved from the stimuli derived from the real walker.


PLoS Biology ◽  
2005 ◽  
Vol 3 (7) ◽  
pp. e208 ◽  
Author(s):  
Giorgio Vallortigara ◽  
Lucia Regolin ◽  
Fabio Marconato

2015 ◽  
Vol 18 (5) ◽  
pp. 1077-1091 ◽  
Author(s):  
V. Schluessel ◽  
N. Kortekamp ◽  
J. A. Ortiz Cortes ◽  
A. Klein ◽  
H. Bleckmann

2014 ◽  
Author(s):  
Luke Miller ◽  
Burcu A. Urgen ◽  
Maria Florendo ◽  
Jennifer Cook ◽  
Ayse P. Saygin

Emotion ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 1446-1461 ◽  
Author(s):  
Yang Guo ◽  
Wenmin Li ◽  
Xiqian Lu ◽  
Xiaodong Xu ◽  
Fangfang Qiu ◽  
...  

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