title: [Movement capture of knot-tying manipulation in microsurgeries].
abstract: The surgical dexterous suturing and knotting movements are photographed with binocular stereo vision and the movements' locus is captured through identifying the RGB values in a series of key-frames. Then a normal movement path of knot-tying is obtained through curve-fitting and smoothing. And meanwhile, the workspace of knot-tying manipulation in microsurgeries is got. And thus, a good foundation is laid for the design of an automatic knotting mechanism and for the establishment of a virtual surgery training system.
authors.affiliation: School of Mechanical Engineering and Automation, Beihang University, Beijing 100083. minwei@me.buaa.edu.cn
authors.forename: Min
authors.initials: M
authors.lastname: Wei
authors.forename: Yang
authors.initials: Y
authors.lastname: Yang
authors.forename: Shi-Jing
authors.initials: SJ
authors.lastname: Deng
authors.forename: Xu-Guang
authors.initials: XG
authors.lastname: Sun
mesh_terms: D008866:Microsurgery / Q000379:methods*; D010781:Photography / Q000379:methods*; D013536:Suture Techniques; D013647:Task Performance and Analysis; D014741:Video Recording