A.P.E: Movement Analysis
A.P.E: Movement Analysis
A.P.E.(Academy of Physical Education): Movement Analysis is an innovative scientific application that enables the study of players’ behavior prediction skills on the field based on their position, posture, gestures, and previous action plays. Utilizing 360-camera technology, VR goggles, and eye-tracking technologies, the application allows for the creation of game scenarios and the analysis of decisions made by the players being studied.
Client
Academy of Physical Education
Project
VR App
Technology
Unity
Project Background
The A.P.E.: Movement Analysis project involves several essential components. Specific situations on the field are captured using a 360 camera, after which they are transferred into the application. Researchers have the ability to create scenarios, deciding key moments to pause the footage and questions that participants must respond to. Participants view these films through VR goggles, stepping into the role of a player, and make decisions based on their observations of the situation.
Creation Process
1. Creation of Scenario Editor:
We developed an editor that allows researchers to create and edit gameplay scenarios. This gives them full control over the key moments when the film is paused and the questions that will be posed to the participants.
2. Implementation of VR Technology:
2. Implementation of VR Technology:
We introduced VR technology, enabling participants to watch films and step into the role of a player. This provides a realistic experience, allowing them to make decisions based on their observation of the situation.
3. Eye Tracking and Data Collection:
3. Eye Tracking and Data Collection:
We utilized eye-tracking technology and HP Omnicept to collect data on the participants’ eye behavior, heart rate, pupil size, and facial expressions (using a face cam). These pieces of information are crucial for analyzing the timing and accuracy of decision-making.
A.P.E.: Movement Analysis is an advanced application that allows for the study and analysis of players’ behavior prediction skills on the field.