sEMG Based Fuzzy Control Strategy with ANFIS Path Planning For Prosthetic Hand

被引：0
|
作者：
Potluri, Chandrasekhar [1 ]
Kumar, Parmod [1 ]
Anugolu, Madhavi [1 ]
Chiu, Steve [2 ]
Urfer, Alex [3 ]
Schoen, Marco P. [4 ]
Naidu, D. Subbaram [2 ]
机构：
[1] Idaho State Univ, MCERC, Coll Engn, Pocatello, ID 83209 USA
[2] Idaho State Univ, MCERC, Dept Elect Engn & Comp Sci, Pocatello, ID 83209 USA
[3] Idaho State Univ, Dept Phys & Occupational Therapy, Pocatello, ID 83209 USA
[4] Idaho State Univ, MCERC, Dept Mech & Nucl Engn, Pocatello, ID 83209 USA
来源：
2010 3RD IEEE RAS AND EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS | 2010年
关键词：
ENTROPY; DESFLURANE;
D O I：
暂无
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
This paper presents an intelligent adaptive neuro-fuzzy inference system (ANFIS) based fuzzy Mamdani controller for a multifingered prosthetic hand. The objective of the controller is to move the finger joint angles along predetermined paths representing a grasping motion. The initiation of the grasping task is evaluated via EMG-entropy data, measured at the forearm of the prosthetic user. In addition to the motion control, the finger force is regulated with a Fuzzy logic controller. Simulation results indicate good performance of the proposed controller. Results show that the outputs follow the hand/finger force and given reference trajectory closely.
引用
收藏
页码：413 / 418
页数：6
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