NCCR Robotics is a consortium of robotics laboratories across Switzerland, working on robots for improving the quality of life and to strengthen robotics in Switzerland and worldwide. Newsletter
Can't see who you were looking for? You might want to try browsing by lab or looking in the A-Z people list.
Looking for publications? You might want to consider searching on the EPFL Infoscience site which provides advanced publication search capabilities.
A survey of sensor fusion methods in wearable robotics
Warning: Use of undefined constant citation_author - assumed 'citation_author' (this will throw an Error in a future version of PHP) in /home/clients/89f5f0444c120951cfdb7adc5e3aa2bf/web/dev-nccr-robotics/wp-content/themes/nccr-twentyseventeen-child/template-parts/post/content-publication.php on line 51
Warning: Use of undefined constant citation_author - assumed 'citation_author' (this will throw an Error in a future version of PHP) in /home/clients/89f5f0444c120951cfdb7adc5e3aa2bf/web/dev-nccr-robotics/wp-content/themes/nccr-twentyseventeen-child/template-parts/post/content-publication.php on line 51
Warning: Use of undefined constant citation_author - assumed 'citation_author' (this will throw an Error in a future version of PHP) in /home/clients/89f5f0444c120951cfdb7adc5e3aa2bf/web/dev-nccr-robotics/wp-content/themes/nccr-twentyseventeen-child/template-parts/post/content-publication.php on line 52
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of endusers, 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.
Posted on: October 22, 2014