Markerless 3D Human Pose Forecasting - Robotics Institute Carnegie Mellon University
Markerless 3D Human Pose Forecasting

It is widely agreed that effective interaction with humans is a challenging problem that first requires that robots be able to perceive them. At HARP lab we believe that enabling robots to model human intent and predict human behavior would allow for more natural human robot interaction. To this end, we are also working on human pose forecasting methods with low-computational cost.

Abhijat would be happy to provide more information!