GravitySpace is a new approach to tracking people and objects indoors. Unlike traditional solutions based on cameras, GravitySpace reconstructs scene data from a pressure-sensing floor. While the floor is limited to sensing objects in direct contact with the ground, GravitySpace reconstructs contents above the ground by first identifying objects based on their texture and then applying inverse kinematics.
Figure 1: GravitySpace recognizes people and objects. We use a mirror-metaphor to show how GravitySpace identifies users and tracks their location and poses, solely based on the pressure imprints they leave on the floor.
Figure 4: The GravitySpace prototype senses pressure at 1mm resolution and projects across an active area of 8 m² in a single seamless piece--a 10x larger version of multitoe.
More info here.
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