Title :
Command detection and classification in tongue drive assistive technology
Author :
Sadeghian, Elnaz Banan ; Huo, Xueliang ; Ghovanloo, Maysam
Author_Institution :
GT-Bionics Lab., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
Aug. 30 2011-Sept. 3 2011
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.
Keywords :
handicapped aids; injuries; magnetoresistance; medical signal processing; neurophysiology; signal classification; -axial magneto-resistive sensor; disabilities; environmental control; false positive rates; sensor signal processing; spinal cord injury; tongue drive assistive technology; tongue drive system; tongue motion; true positive rates; two-stage classification method; Algorithm design and analysis; Cavity resonators; Classification algorithms; Magnetic sensors; Signal processing algorithms; Testing; Tongue; Equipment Design; Equipment Failure Analysis; Humans; Imaging, Three-Dimensional; Magnetics; Monitoring, Ambulatory; Movement; Self-Help Devices; Tongue; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091394