Bidet-Ildei Christel, Francisco Victor, Decatoire Arnaud, Pylouster Jean, Blandin Yannick
Centre de Recherches sur la Cognition et l'Apprentissage (UMR CNRS 7295), Université de Poitiers, Université de Tours, Centre National de la Recherche Scientifique, Poitiers, France.
MSHS, Bâtiment A5, 5 rue Théodore Lefebvre TSA 21103, 86073, Poitiers, Cedex 9, France.
Behav Res Methods. 2023 Feb;55(2):694-715. doi: 10.3758/s13428-022-01850-3. Epub 2022 Apr 19.
It was more than 45 years ago that Gunnar Johansson invented the point-light display technique. This showed for the first time that kinematics is crucial for action recognition, and that humans are very sensitive to their conspecifics' movements. As a result, many of today's researchers use point-light displays to better understand the mechanisms behind this recognition ability. In this paper, we propose PLAViMoP, a new database of 3D point-light displays representing everyday human actions (global and fine-motor control movements), sports movements, facial expressions, interactions, and robotic movements. Access to the database is free, at https://plavimop.prd.fr/en/motions . Moreover, it incorporates a search engine to facilitate action retrieval. In this paper, we describe the construction, functioning, and assessment of the PLAViMoP database. Each sequence was analyzed according to four parameters: type of movement, movement label, sex of the actor, and age of the actor. We provide both the mean scores for each assessment of each point-light display, and the comparisons between the different categories of sequences. Our results are discussed in the light of the literature and the suitability of our stimuli for research and applications.
45多年前，贡纳尔·约翰松发明了点光显示技术。这首次表明运动学对动作识别至关重要，而且人类对同种个体的动作非常敏感。因此，如今许多研究人员使用点光显示来更好地理解这种识别能力背后的机制。在本文中，我们提出了PLAViMoP，这是一个新的3D点光显示数据库，它代表了日常人类动作（整体和精细运动控制动作）、体育动作、面部表情、互动以及机器人动作。可通过https://plavimop.prd.fr/en/motions免费访问该数据库。此外，它还包含一个搜索引擎以方便动作检索。在本文中，我们描述了PLAViMoP数据库的构建、功能和评估。每个序列都根据四个参数进行了分析：动作类型、动作标签、演员性别和演员年龄。我们提供了每个点光显示每次评估的平均分数，以及不同类别序列之间的比较。我们根据文献以及我们的刺激对研究和应用的适用性来讨论我们的结果。
