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In order to study and analyze human hand motions that contain multimodal information, a generalized framework integrating multiple sensors is proposed and consists of modules of sensor integration, signal preprocessing, correlation study of sensory information, and motion identification. Three types of sensors are integrated to simultaneously capture the finger angle trajectories, the hand contact...
Studying human motor control has received increased attention during the past decades. Both the design and control of robotic artifacts may benefit from observation of human behavior. In this paper a novel method for capturing the dynamic behavior of the human hand is presented. The low dimensional kinematics of the human hand, including the wrist, and the low dimensional representation of the muscular...
In this paper, an integrated framework with multiple sensory information for analysing human hand motions is proposed, and it consists of components of system integration, signal preprocessing, correlation study of sensory information and human motion recognition based on manipulation intention. Three types of sensors are employed in the framework to simultaneously capture the finger angle trajectory,...
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