@inproceedings{909dbfd970a9492dbee12757f8ac0237,
title = "Improving steering of a powered wheelchair using an expert system to interpret hand tremor",
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.",
keywords = "powered-wheelchair, steering, expert, joystick, sensor, ultra-sonic",
author = "Sanders, \{David Adrian\} and Nils Bausch",
year = "2015",
month = aug,
day = "20",
doi = "10.1007/978-3-319-22876-1\_39",
language = "English",
isbn = "9783319228754",
series = "Lecture Notes in Computer Science",
publisher = "Springer Cham",
pages = "460--471",
editor = "Honghai Liu and Naoyuki Kubota and Xiangyang Zhu and Rudiger Dillmann and Dalin Zhou",
booktitle = "Intelligent Robotics and Applications. ICIRA 2015",
note = "International Conference on Intelligent Robotics and Applications : 8th International Conference, ICIRA 2015 ; Conference date: 24-08-2015 Through 27-08-2015",
}