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Atomic, Molecular, and Optical Physics
Published in W. M. Haynes, David R. Lide, Thomas J. Bruno, CRC Handbook of Chemistry and Physics, 2016
W. M. Haynes, David R. Lide, Thomas J. Bruno
Z Atomic Formula CD2CN CH2NC CD2NC C2H2N3 HNiC2H C2H3 C2H3Fe C2H3Ni C2H3O C2D3O C2H5N C2H5NO2 (C2H5NO2)n C2H5O C2D5O C2H5O2 C2H5S C2H5S C2H7O2 C3Fe C3H C3D C3HFe CH2CC C3H2F3O CH3CC CD3CC CH2CCH C3H2D C3D2H C3H4N C3H5 C3H4D C3D5 C3H5 C3H5O C3H5O C3H5O2 C3H7O C3H7O C3H7S C3H7S C3N2 O=C=C=C: C3O2 C3S C3Ti C4F4Cl2 C4F4O3 c-C4F8 C4Fe C4H C4D HC4Fe C4H2Fe C4H2O3 C4H3Fe C4H3Ni C4H4 C4D4 C4H4N Name Cyanomethyl-d2 Isocyanomethyl Isocyanomethyl-d2 1,2,3-Triazolyl Ethynylhydronickel Vinyl Ethynyldihydroiron Ethynyldihydronickel Acetaldehyde enolate Acetaldehyde-d3 enolate Ethylnitrene Nitroethane Nitroethane cluster Ethoxy Ethoxy-d5 Ethyldioxy Ethylthio (Methylthio)methyl Methanol-methoxy complex 1,2-Propadiene-1,3-diylideneferrate Cyclopropenylidyne Cyclopropenylidyne-d 2-Propynylidyneferrate Propadienylidene 1,1,1-Tri uoroacetone enolate 1-Propynyl 1-Propynyl-d3 2-Propynyl 2-Propynyl-d1 2-Propynyl-d2 1-Cyanoethyl Allyl Allyl-d1 Allyl-d5 Cyclopropyl Acetone enolate Propanal enolate Methyl acetate enolate Propoxy Isopropoxy Propylthio Isopropylthio Dicyanocarbene 3-Oxo-1,3-propadienylidene Carbon suboxide 3- ioxo-1,2-propadienylidene Titanium carbide [TiC3] 1,2-Dichloro-3,3,4,4-tetra uorocyclobutene 3,3,4,4-Tetra uorodihydro-2,5-furandione Per uorocyclobutane 1,2,3-Butatriene-1,4-diylideneferrate 1,3-Butadiynyl radical 1,4-Butadiynyl-d 1,3-Butadiynylferrate [(1,2-)-1,3-Butadiyne]iron Maleic anhydride Acetylene-iron complex Acetylene-nickel complex Vinylvinylidene Vinylvinylidene-d4 1H-Pyrrol-1-yl Elec. Aff. (eV) 1.538 1.059 1.070 3.447 2.531 0.667 1.587 1.103 1.8249 1.8191 0.56 0.3 n=0-4 1.712 1.699 1.186 1.953 0.868 2.26 1.69 1.999 1.997 1.58 1.794 2.625 2.7355 2.7300 0.918 0.88 0.907 1.247 0.481 0.373 0.464 0.397 1.758 1.621 1.80 1.789 1.847 2.00 2.02 <3.25 1.237 0.85 1.5957 1.561 0.87 0.5 0.63 <2.2 3.5332 3.5308 1.67 1.633 1.44 1.182 0.824 0.914 0.909 2.145 Uncert. (eV) 0.012 0.024 0.024 0.004 0.005 0.024 0.019 0.019 0.0012 0.0012 0.01 0.2 0.004 0.004 0.004 0.006 0.051 0.08 0.08 0.003 0.005 0.06 0.008 0.010 0.0010 0.0010 0.008 0.15 0.023 0.012 0.008 0.019 0.006 0.069 0.019 0.006 0.06 0.033 0.004 0.02 0.02 0.05 0.003 0.15 0.0010 0.015 0.08 0.2 0.05 0.2 0.0010 0.0012 0.06 0.019 0.10 0.019 0.019 0.015 0.015 0.010
Automated gap-filling for marker-based biomechanical motion capture data
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2020
Jonathan Camargo, Aditya Ramanathan, Noel Csomay-Shanklin, Aaron Young
Analysis of improperly labeled data to calculate joint angles through inverse kinematics (IK) yields large deviations between the kinematic fit and the original marker data wherever the marker data is incongruent with a possible posture. We suggest that large deviations from the output of IK indicate that the data were reconstructed inaccurately, possibly due to improper labeling, invalid gap-filling, or interference from other reflective objects in the motion capture space, and we investigate this claim below. Because of this, trajectories with sufficiently large IK deviations should be removed from those regions. The new marker data with artificial gaps created can be gap-filled again. This process can be iterated until the IK errors converge below some user-set thresholds, or until a maximum iteration limit is reached. This process starts from the motion capture data in a C3D format (C3D. The 3D Biomechanics Data Standard 2018), a standard format supported by major manufacturers of 3 D motion capture systems. Gap-filling is realized by combining interpolation-based methods with information about rigid body segments from an OpenSim model to intelligently select the closest available marker on the same segment for interpolation methods that require information from such additional donor markers. The interpolation methods are implemented in MATLAB, based on openly available descriptions of methods used by Vicon Nexus (Vicon Motion Systems Limited, What Gap Filling Algorithms are Used Nexus 2, May 2020). After each gap-filling process, the gap creation process uses the information output from IK.
A fingertips-based approach to select maintenance tool automatically in virtual environment
Published in International Journal of Computer Integrated Manufacturing, 2019
In the whole process, C3D format is a public domain, binary file format that has been used to record synchronised 3D and analogue data. It is supported by all 3D major Motion Capture System manufacturers. And the BVH format is another universal body animation file format that contains the character’s bone and limb joint rotation data.