@inproceedings{d4b3fe7d6cde4a8683e4bf20d7b88842,
title = "Comparison of tongue interface with keyboard for control of an assistive robotic arm",
abstract = "This paper demonstrates how an assistive 6 DoF robotic arm with a gripper can be controlled manually using a tongue interface. The proposed method suggests that it possible for a user to manipulate the surroundings with his or her tongue using the inductive tongue control system as deployed in this study. The sensors of an inductive tongue-computer interface were mapped to the Cartesian control of an assistive robotic arm. The resulting control system was tested manually in order to compare manual control of the robot using a standard keyboard and using the tongue interface. Two healthy subjects controlled the robotic arm to precisely move a bottle of water from one location to another. The results shows that the tongue interface was able to fully control the robotic arm in a similar manner as the standard keyboard resulting in the same number of successful manipulations and an average increase in task duration of up to 30% as compared with the standard keyboard.",
keywords = "Tongue, Manipulators, Keyboards, Robot sensing systems, Standards, handicapped aids, keyboards, medical robotics, tongue interface, assistive robotic arm control, gripper, tongue control system, sensor, inductive tongue-computer interface, Cartesian control, standard keyboard, task duration",
author = "Struijk, {Lotte N. S. Andreasen} and Romulus Lontis",
year = "2017",
doi = "10.1109/ICORR.2017.8009367",
language = "English",
isbn = "978-1-5386-2296-4",
series = "International Conference on Rehabilitation Robotics",
publisher = "IEEE",
pages = "925--928",
booktitle = "Proceedings from 15th IEEE Conference on Rehabilitation Robotics, ICORR, 17-20 July 2017, London, UK",
address = "United States",
note = "15th IEEE International Conference on Rehabilitation Robotics, ICORR ; Conference date: 17-07-2017 Through 20-07-2017",
}