Kinematics of human motion
By V. M. Zat︠s︡iorskiĭ. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Pichao Wang
- Jun Liu
- Wanqing Li
- Hossein Rahmani
- Amir Shahroudy
- Zhimin Gao
- Philip O. Ogunbona
- Liang Wang
Citations in the corpus
- Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks (2017, methodology): “However, considering an action is a continuous evolution of articulated rigid segments connected by joints [54], these RNNbased methods only model the contextual information in the temporal domain by concatenating skeletons for each frame.”
- Towards bridging the gap between motion capturing and biomechanical optimal control simulations (2015, background): “Assuming some type of body model, most often a kinematic chain model [23], the motion of the subject is derived from the set of marker trajectories.”
- Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors (2009, background): “…some laxity in all directions (both position and MVN is a product by Xsens Technologies B.V., P.O. Box 559, 7500 AN Enschede, the Netherlands, T: +31 (0)88 97367 00, F: +31 (0) 88 97367 01, info@xsens.com, www.xsens.com, patents pending. orientation) other than its main direction of movement [7].”
- Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group (2014, background): “A human body can be represented as an articulated system of rigid segments connected by joints, and human motion can be considered as a continuous evolution of the spatial configuration of these rigid segments [24].”
- Mining Mid-Level Features for Action Recognition Based on Effective Skeleton Representation (2014, background): “t Right, Shoulder Center-Hip Center-Hip Left, Hip Left-Knee LeftAngle Left,Shoulder Center-Hip Center-Hip Right and HipRight-Knee Right-Angle Right. According to the Degree of Freedom (DoF) of joints [22], each body part is encoded with different number of states and the total number of states is de”
- View-Invariant Action Recognition from Point Triplets (2009, methodology): “…induced by the motion of a triplet of body points in two identical pose transitions reduces to the special case of a homology, we use the equality of two of its eigenvalues as a measure of the similarity of the pose transitions between two subjects, observed by different perspective cameras and…”
- Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures (2008, background): “T HE human body is often viewed as an articulated system of rigid links or segments connected by joints and human motion can therefore be considered as a continuous evolution of the spatial configuration of the segments or body posture [1].”
- Exploring the space of a human action (2005, background): “Even without these two sources of variability, the human body has no less than 244 degrees of freedom ([19]) and modeling the dynamics of an object with such nonrigidity is no mean feat.”
- Documentation Mocap Database HDM05 (2007, background): “…and turn around [17] walk 3 steps to lying position [18] sit down on floor [19] stand up [20] walk 3 steps away from lying position and turn around [21] 5-2 Shouting and tying shoes: [1] shout with both hands on mouth [2] lower hands [3] bend knees and tie left shoe [4] stand up [5] shout with…”
- View-invariant action recognition using fundamental ratios (2008, background): “The main challenges are due to perspective distortions, differences in viewpoints, unknown camera parameters, anthropometric variations, and the large degrees of freedom of articulated bodies [18].”
- Dual Quaternions as a Tool for Rigid Body Motion Analysis: A Tutorial with an Application to Biomechanics (2010, methodology): “The method is valid for a three dimensional motion and does not require the hypothesis of planar motion, as those proposed in [3, 4].”
- Action recognition based on a bag of 3D points (2010, background): “As it is well known, the human body is an articulated system of rigid segments connected by joints and human motion is often considered as a continuous evolution of the spatial configuration of the segments or body posture [18].”
- Fundamentals of Biomechanics (2003, background): “Good sources for a more detailed description of kinematics in biomechanics are available (Allard, Stokes, & Blanchi, 1995; Zatsiorsky, 1998).”