This method may have applications that include the development of interactive video games, human factors simulations, and movie animation development. Engineer Pedro Correa, from the UCL Telecommunications and Teledetection Laboratory, told SINC that, together with professor Ferran Marqués's unit at the UPC, they have developed algorithms that can be utilized to identify human body and facial gestures “in the least invasive way possible, since it does not require wearing any special suit or receivers, using a simple video camera to film the body's movement”.

The technology utilizes a digital video where the images are uploaded into a computer and an algorithm evaluates the images to identify the individual’s movements and gestures. The “crucial point’s extraction algorithm” uses the mathematical concept of geodesic distance to calculate and determine the individuals extremities (hands, feet, head, arms, and legs) location and movement, “in other words”, clarifies Correa, “which points are furthest away from the center of gravity, following a path entirely within the outline”.

Once the location and motion of the individuals extremities have been capture digitally, the outline is reanalyzed to create "morphological skeletons" that assist the algorithm in assigning an identity to each extremity. The five possible identities are head, left hand, right hand, left foot and right foot. Once identified, the digital data is represented by colored dots for tracking in 2 dimensions. This enables the user to analyze the results visually. In summary, the use of two cameras enabled the researchers to triangulate the movement of the extremities and obtain the same information in 3 dimensions.