Analysis of Hand Synergies for Inverse Kinematics Hand Tracking
نویسندگان
چکیده
We present a method for real-time bare hand tracking that utilizes natural hand synergies to reduce the complexity and improve the plausibility of the hand posture estimation. The hand pose and posture are estimated by fitting a virtual hand model to the 3D point cloud obtained from a Kinect camera using an inverse kinematics approach. We use real human hand movements captured with a Vicon motion tracking system as the ground truth for deriving natural hand synergies based on principal component analysis. These synergies are integrated in the tracking scheme by optimizing the posture in a reduced parameter space. We show that this synergistic hand tracking approach improves runtime performance and increases the quality of the posture estimation.
منابع مشابه
Online Adaptive PCA for Inverse Kinematics Hand Tracking
Recent approaches to real-time bare hand tracking estimate the hand’s pose and posture by fitting a virtual hand model to RGBD sensor data using inverse kinematics. It has been shown that exploiting natural hand synergies can improve the efficiency and quality of the tracking, by performing the optimization in a reduced parameter space consisting of realistic hand postures [SMRB14]. The downsid...
متن کاملInverse Kinematic Infrared Optical Finger Tracking
Human hand and finger tracking is an important input modality for both virtual and augmented reality. We present a novel device that overcomes the disadvantages of current glove-based or visionbased solutions by using inverse-kinematic models of the human hand. The fingertips are tracked by an optical infrared tracking system and the pose of the phalanxes is calculated from the known anatomy of...
متن کاملEncoding of Both Reaching and Grasping Kinematics in Dorsal and Ventral Premotor Cortices.
Classically, it has been hypothesized that reach-to-grasp movements arise from two discrete parietofrontal cortical networks. As part of these networks, the dorsal premotor cortex (PMd) has been implicated in the control of reaching movements of the arm, whereas the ventral premotor cortex (PMv) has been associated with the control of grasping movements of the hand. Recent studies have shown th...
متن کاملIntroducing " XMOB " : Extremity Movement Observation Framework for Upper Body Pose Tracking in 3 D 1 Cuong
We introduce a vision based, markerless upper body pose tracking approach that first tracks the 3D movements of extremities, including head and hands. Then based on the knowledge of upper body model, these extremity movements are used to predict the whole upper body motion as an inverse kinematics problem. The experimental validation showed the promise of applying this approach in several smart...
متن کاملPrincipal components of hand kinematics and neurophysiological signals in motor cortex during reach to grasp movements.
A few kinematic synergies identified by principal component analysis (PCA) account for most of the variance in the coordinated joint rotations of the fingers and wrist used for a wide variety of hand movements. To examine the possibility that motor cortex might control the hand through such synergies, we collected simultaneous kinematic and neurophysiological data from monkeys performing a reac...
متن کامل