Improving steering of a powered wheelchair using an expert system to interpret hand tremor

David Adrian Sanders, Nils Bausch

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

Abstract

Simple expert systems are presented that will allow more people to use powered wheelchairs. The systems interpret hand tremor and provide joystick position signals. Signals are mixed with ultrasonic sensor data to identify potentially hazardous situations and assist users to find a safe course. Results are discussed from a series of timed tasks completed by users using a joystick. They suggest that the amount of sensor support should be varied depending on circumstances and skill. Drivers completed progressively more complicated courses both with and with-out sensors and the most recently published systems are used to compare results. The new expert systems consistently out-performed the most recently published systems.
Original languageEnglish
Title of host publicationIntelligent Robotics and Applications
Subtitle of host publication8th International Conference, ICIRA 2015, Portsmouth, UK, August 24-27, 2015, Proceedings, Part II
EditorsHonghai Liu, Naoyuki Kubota, Xiangyang Zhu, Rüdiger Dillmann, Dalin Zhou
PublisherSpringer
Pages460-471
Number of pages12
ISBN (Electronic)978-3-319-22876-1
ISBN (Print)978-3-319-22875-4
DOIs
Publication statusPublished - 24 Aug 2015
Externally publishedYes
Event8th International Conference on Intelligent Robotics and Applications - Portsmouth, United Kingdom
Duration: 24 Aug 201527 Aug 2015

Conference

Conference8th International Conference on Intelligent Robotics and Applications
Abbreviated titleICIRA 2015
Country/TerritoryUnited Kingdom
CityPortsmouth
Period24/08/1527/08/15

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