• Title/Summary/Keyword: interphalangeal coordination of human finger

Search Result 2, Processing Time 0.015 seconds

A Joint Motion Planning Based on a Bio-Mimetic Approach for Human-like Finger Motion

  • Kim Byoung-Ho
    • International Journal of Control, Automation, and Systems
    • /
    • v.4 no.2
    • /
    • pp.217-226
    • /
    • 2006
  • Grasping and manipulation by hands can be considered as one of inevitable functions to achieve the performances desired in humanoid operations. When a humanoid robot manipulates an object by his hands, each finger should be well-controlled to accomplish a precise manipulation of the object grasped. So, the trajectory of each joint required for a precise finger motion is fundamentally necessary to be planned stably. In this sense, this paper proposes an effective joint motion planning method for humanoid fingers. The proposed method newly employs a bio-mimetic concept for joint motion planning. A suitable model that describes an interphalangeal coordination in a human finger is suggested and incorporated into the proposed joint motion planning method. The feature of the proposed method is illustrated by simulation results. As a result, the proposed method is useful for a facilitative finger motion. It can be applied to improve the control performance of humanoid fingers or prosthetic fingers.

Correlation analysis of finger movements in dynamic hand grasping (잡기 동작에서 손가락 동작의 상관관계 분석)

  • Ryu, Tae-Beom;Yun, Myeong-Hwan
    • Journal of the Ergonomics Society of Korea
    • /
    • v.20 no.3
    • /
    • pp.11-25
    • /
    • 2001
  • AS human movements have the inherent property of anticipating target and can be coordinated to realize a given schedule, finger movements have stereotyped patterns during hand grasping. Finger movements have been studied in the past to find out the coordination pattern of hand joint angular movement. These studies analyzed only a few finger joints for a limited number of hand postures. This study investigated fourteen joint angles during eight hand-grasping motions to analyze the angular correlations between finger joints and to suggest motion factors which represent hand grasping. Hand grasping motions including forward arm motion were examined in ten healthy volunteers. Eight objects were used to represent real hand grasping tasks. $CyberGlove^{TM}$ and $Fasreack^{TM}$ measured hand joint angles and wrist origin. Joint angle correlations between PIJ(proximal interphalangeal joint) and MPJ(metacarpophalangeal joint) at one finger, between neighboring PIJs and MPJs were four factors related to the fast phase of hand grasping motions and eight factors related to the slow phase of hand grasping motions.

  • PDF