Force synergies for multifingered grasping

被引:188
|
作者
Santello, M [1 ]
Soechting, JF [1 ]
机构
[1] Univ Minnesota, Dept Neurosci, Minneapolis, MN 55455 USA
关键词
grasping; muscle synergies; force control; human;
D O I
10.1007/s002210000420
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Compared with the control of precision grips involving the thumb and one or two fingers, the control of grasping using the entire hand involves a larger number of degrees of freedom that has to be controlled simultaneously, and it introduces indeterminacies in the distribution of grip forces suitable for holding an object. We studied the control of five-digit grasping by measuring contact forces when subjects lifted, field, and replaced a manipulandum. This study focused primarily on the patterns of coordination among the normal forces exerted by each of the digits, assessed by varying the center of mass of the manipulandum. The force patterns during the lift and hold phases were modulated as a function of the location of the center of mass. A frequency domain analysis revealed a consistent temporal synergy by which digits tended to exert normal forces in phase with each other across mil experimental conditions. This tendency for in-phase covariations by the normal forces exerted by the digits extended over the entire functional frequency range (up to 10 Hz). When the effect of thumb force was removed, a second synergy was revealed in which forces in two fingers could be modulated 180 degrees out of phase (also prevailing throughout the range of frequencies studied). The first synergy suggests the presence of a "common drive" to all of the extrinsic finger muscles, whereas the second one suggests another input, ultimately resulting in a reciprocally organized pattern of activity of some of these muscles.
引用
收藏
页码:457 / 467
页数:11
相关论文
共 50 条
  • [41] Extracting Postural Synergies for Robotic Grasping
    Romero, Javier
    Feix, Thomas
    Ek, Carl Henrik
    Kjellstrom, Hedvig
    Kragic, Danica
    IEEE TRANSACTIONS ON ROBOTICS, 2013, 29 (06) : 1342 - 1352
  • [42] Transferring human grasping synergies to a robot
    Geng, Tao
    Lee, Mark
    Huelse, Martin
    MECHATRONICS, 2011, 21 (01) : 272 - 284
  • [43] Evidence for sparse synergies in grasping actions
    Roberto Prevete
    Francesco Donnarumma
    Andrea d’Avella
    Giovanni Pezzulo
    Scientific Reports, 8
  • [44] Vision-based grasping points determination by multifingered hands
    Boudaba, Madjid
    Casals, Alicia
    Osswald, Dirk
    Woern, Heinz
    FIELD AND SERVICE ROBOTICS, 2006, 25 : 281 - +
  • [45] The grasping problematics during grip by biomechanical multifingered robot grippers
    Novák-Marcincin, J
    Kárník, L
    Nizník, J
    ISMCR '98: PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON MEASUREMENT AND CONTROL IN ROBOTICS, 1998, : 221 - 226
  • [46] TASK-ORIENTED OPTIMAL GRASPING BY MULTIFINGERED ROBOT HANDS
    LI, ZI
    SASTRY, SS
    IEEE JOURNAL OF ROBOTICS AND AUTOMATION, 1988, 4 (01): : 32 - 44
  • [47] Fingertip Three-Axis Tactile Sensor for Multifingered Grasping
    Zhang, Ting
    Jiang, Li
    Wu, Xinyu
    Feng, Wei
    Zhou, Dingjiang
    Liu, Hong
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (04) : 1875 - 1885
  • [48] The CX-Space: A unified paradigm for grasping using multifingered hands
    Hourtash, Arjang
    2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, 2006, : 2117 - 2123
  • [49] Evidence of muscle synergies during human grasping
    Claudio Castellini
    Patrick van der Smagt
    Biological Cybernetics, 2013, 107 : 233 - 245
  • [50] On the analysis of hand synergies during grasping in weightlessness
    Micera, S
    Dario, P
    Posteraro, F
    PROCEEDINGS OF THE EUROPEAN SYMPOSIUM ON LIFE IN SPACE FOR LIFE ON EARTH, 2002, 501 : 233 - 234