Unsurprisingly, research on BM has been among the most important and fruitful fields in visual/social cognition in the recent decade (for reviews, see Blake & Shiffrar, 2007 Pavlova, 2012 Puce & Perrett, 2003 Steel, Ellem, & Baxter, 2015 Troje, 2013). The processing capability of BM is currently suggested to be a hallmark of social cognition (Gao, Ye, Shen, & Perry, 2016 Pavlova, 2012). For instance, BM processing is critical for prosocial behavior and nonverbal communication (Blake & Shiffrar, 2007 Pavlova, 2012). It is one of the most important and sophisticated stimuli encountered in our daily lives. Therefore, we think that the KBC toolbox can be useful in generating BM for future research.īiological motion (BM) refers to the movement of animate entities (e.g., walking, jumping, or waving by humans Johansson, 1973 Troje, 2013). We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. These factors impede the investigation of BM mechanisms. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. Most prevalent BM stimuli are created by state-of-the-art motion capture systems.

To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body.

Biological motion (BM) is the movement of animate entities, which conveys rich social information.

Kinect random dot pattern