A survey of sensor fusion methods in wearable robotics

被引:191
作者
Novak, Domen [1 ]
Riener, Robert [1 ]
机构
[1] ETH, Sensory Motor Syst Lab, CH-8092 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
Sensor fusion; Assistive robotics; Rehabilitation robotics; Classification; Electromyography; Electroencephalography; BRAIN-COMPUTER INTERFACE; PROPORTIONAL MYOELECTRIC CONTROL; EMG PATTERN-RECOGNITION; POWERED PROSTHETIC HAND; MACHINE INTERFACE; GAIT INITIATION; CHRONIC STROKE; CONTROL SCHEME; SURFACE EMG; EXOSKELETON;
D O I
10.1016/j.robot.2014.08.012
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modern wearable robots are not yet intelligent enough to fully satisfy the 'demands of end-users, as they lack the sensor fusion algorithms needed to provide optimal assistance and react quickly to perturbations or changes in user intentions. Sensor fusion applications such as intention detection have been emphasized as a major challenge for both robotic orthoses and prostheses. In order to better examine the strengths and shortcomings of the field, this paper presents a review of existing sensor fusion methods for wearable robots, both stationary ones such as rehabilitation exoskeletons and portable ones such as active prostheses and full-body exoskeletons. Fusion methods are first presented as applied to individual sensing modalities (primarily electromyography, electroencephalography and mechanical sensors), and then four approaches to combining multiple modalities are presented. The strengths and weaknesses of the different methods are compared, and recommendations are made for future sensor fusion research. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:155 / 170
页数:16
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