title: Command detection and classification in tongue drive assistive technology.
abstract: Tongue Drive System (TDS) is a new assistive technology that enables individuals with severe disabilities such as those with spinal cord injury (SCI) to regain environmental control using their tongue motion. We have developed a new sensor signal processing (SSP) algorithm which uses four 3-axial magneto-resistive sensor outputs to accurately detect and classify between seven different user-control commands in stationary as well as mobile conditions. The new algorithm employs a two-stage classification method with a combination of 9 classifiers to discriminate between 4 commands on the left or right side of the oral cavity (one neutral command shared on both sides). Evaluation of the new SSP algorithm on five able-bodied subjects resulted in true positive rates in the range of 70-99% with corresponding false positive rates in the range of 5-7%, showing a notable improvement in the resulted true-false (TF) differences when compared to the previous algorithm.
authors.affiliation: GT-Bionics Lab, School of Electrical and Computer Engineering at Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: Elnaz Banan
authors.initials: EB
authors.lastname: Sadeghian
authors.forename: Xueliang
authors.initials: X
authors.lastname: Huo
authors.forename: Maysam
authors.initials: M
authors.lastname: Ghovanloo
mesh_terms: D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000295:instrumentation*; D008280:Magnetics / Q000295:instrumentation*; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D009068:Movement / Q000502:physiology*; D012656:Self-Help Devices; D014059:Tongue / Q000502:physiology*; D014584:User-Computer Interface