遇见数据集

USER WEB AREAS

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知名数据库2026-06-11 收录
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We present a database of high-definition (HD) videos for the study of traits inferred from whole-body actions. Twenty-nine actors (19 female) were filmed performing different actions-walking, picking up a box, putting down a box, jumping, sitting down, and standing and acting-while conveying different traits, including four emotions (anger, fear, happiness, sadness), untrustworthiness, and neutral, where no specific trait was conveyed. For the actions conveying the four emotions and untrustworthiness, the actions were filmed multiple times, with the actor conveying the traits with different levels of intensity. In total, we made 2,783 action videos (in both two-dimensional and three-dimensional format), each lasting 7 s with a frame rate of 50 fps. All videos were filmed in a green-screen studio in order to isolate the action information from all contextual detail and to provide a flexible stimulus set for future use. In order to validate the traits conveyed by each action, we asked participants to rate each of the actions corresponding to the trait that the actor portrayed in the two-dimensional videos. To provide a useful database of stimuli of multiple actions conveying multiple traits, each video name contains information on the gender of the actor, the action executed, the trait conveyed, and the rating of its perceived intensity

本研究构建了一套高清(High-Definition,HD)视频数据集,用于基于全身动作推断个体特质的相关研究。本数据集共招募29名演员(其中19名为女性),录制其完成多种动作的画面:行走、拾取箱子、放置箱子、跳跃、坐下、站立及动作表演,同时传递不同特质,包括四种情绪(愤怒、恐惧、快乐、悲伤)、不可信特质以及无特定特质的中性状态。针对传递四种情绪与不可信特质的动作,我们进行了多次录制,让演员以不同强度传递对应特质。本数据集总计包含2783段动作视频,涵盖二维(Two-Dimensional,2D)与三维(Three-Dimensional,3D)两种格式,单段视频时长均为7秒,帧率为50帧每秒(frames per second,fps)。所有视频均在绿幕摄影棚中录制,以便将动作信息与所有背景细节分离,为后续研究提供灵活的刺激素材集。为验证各动作所传递的特质,我们邀请受试者对二维视频中演员所饰演的对应特质动作进行评分。为打造一个可支撑多动作、多特质传递研究的实用刺激素材数据库,每段视频的文件名均包含以下信息:演员性别、所执行的动作、传递的特质以及该动作被感知到的强度评分。

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