Finger module division method based on analysis of human hand motion function
A technology of motion function and human hands, which is applied in the field of robotics, can solve the problems of complicated degrees of freedom of human hands and difficult simulation, and achieve the effect of simplifying the degree of freedom of human hands, realizing independent driving, and reproducing dexterity
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specific Embodiment approach 1
[0014] Specific implementation mode one: combine figure 1 and figure 2 Describe this embodiment, the specific steps of the finger module division method based on human hand motion function analysis described in this embodiment are as follows:
[0015] Step 1. Establish a human grasping pose library;
[0016] Step 2. Analyze the motion characteristics of the joint itself;
[0017] Step 3. Analyze the motion characteristics between joints;
[0018] Step 4, analyzing the correlation proportional coefficient;
[0019] Step 5. Analyze the anatomy of the human hand and the frequency of use of each finger in different grasps.
[0020] In this embodiment, the human hand joints are divided into a thumb module and a four-finger module, and the four-finger module is divided into a metacarpophalangeal abduction-adduction joint module, a metacarpophalangeal extension-flexion joint module, an interphalangeal extension-flexion joint module, and a far finger extension-flexion joint modul...
specific Embodiment approach 2
[0022] Specific implementation mode two: combination figure 1 and figure 2 Describe this embodiment, the method for dividing finger modules based on the analysis of human hand motion function described in this embodiment is characterized in that: in step 1, a database of grasping postures of human hands is established to reflect the grasping ability of human hands, and its specific steps are:
[0023] Step 1 (1), select 10 subjects, and each subject grasps 6 objects of different shapes and sizes. During the grasping process, the position of the wrist of the human hand is fixed and cannot be translated, but the wrist can be adjusted in different postures to grasp objects. crawling;
[0024] Step 1 (2), each subject adjusts the wrist to different postures to complete the grasping of 6 objects located in 27 relative positions relative to the front, middle, back, left, middle and right, and upper, middle, and lower of the human hand. Each object is grasped twice ;
[0025] Ste...
specific Embodiment approach 3
[0027] Specific implementation mode three: combination figure 1 and figure 2 This embodiment is described. In the second step of the finger module division method based on the analysis of human motion function in this embodiment, the kinematic characteristics of the joints themselves are analyzed to omit the degree of freedom of joint angles in different grasps. On this basis, only Four-finger metacarpophalangeal joint abduction-adduction, metacarpophalangeal joint extension-flexion and interphalangeal joint extension-flexion are used to analyze the joint kinematic characteristics. Based on the constructed human grasping pose library, compared with other types of joint degrees of freedom It is concluded that in different grasps, the abduction and adduction joint angles of the four fingers of the human hand do not change much, and the consistency is strong. Therefore, the degrees of freedom of the abduction and adduction joints of the four fingers of the human hand are omitted...
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