ArticleBehavior research methods2023
PLAViMoP database: A new continuously assessed and collaborative 3D point-light display dataset.
Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- SmartDetector: a valid and affordable AI-based markerless motion capture system for psychological experiments.Cognitive processing · 2026Article
- First Evidences of the Point-Light Display Observation Methodology in Multi-Pathology Care: A Retrospective Analysis.Health science reports · 2026Article
- Article
- Kinematic observation benefits from motor repertoire in episodic memory: a study in young and older adults.Psychological research · 2025Article
- SmartDetector: Automatic and vision-based approach to point-light display generation for human action perception.Behavior research methods · 2024Article
- Post-migration living difficulties and poor mental health associated with increased interpretation bias for threat.Quarterly journal of experimental psychology (2006) · 2024Article
- Point-light display: a new tool to improve verb recovery in patients with aphasia? A pilot study.Experimental brain research · 2023Article
- A Large Video Set of Natural Human Actions for Visual and Cognitive Neuroscience Studies and Its Validation with fMRI.Brain sciences · 2022Article
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Authors and funding
5 authors.
Funding
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Abstract
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.
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