Application of Markerless Image-Based Arm Tracking to Robot-Manipulator Teleoperation
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
A Dual Mode Human-Robot Teleoperation Interface Based on Airflow in the Aural Cavity
International Journal of Robotics Research
Human/robot interface for voice teleoperation of a robotic platform
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
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Proposes a human motion tracking system based on a full-body model and a pressure-sensor distribution bed. The full-body model consists of a skeleton and a surface model. BVH files are used as the skeleton model that describes a hierarchy of joints and links. Wavefront object files are used as the surface model that describes the geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure the pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and the difference between the measured pressure distribution image and the pressure distribution image that is calculated by the full-body model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.