Communications: electrical – Selective – Communication or control for the handicapped
Reexamination Certificate
2006-10-31
2011-10-25
Lee, Benjamin C (Department: 2612)
Communications: electrical
Selective
Communication or control for the handicapped
C340S004100, C340S539120, C340S539220
Reexamination Certificate
active
08044766
ABSTRACT:
An assistive apparatus and method for remote control of an appliance by a subject are provided. The apparatus can comprise a tracer unit affixed to the tongue of the subject such that a change in position of the tongue changes position of the tracer; at least one sensor for detecting a position of the tracer unit; and a transmitter for transmitting a sensor signal to an appliance based on the detected position of the tracer unit, wherein the sensor signal effects control of the appliance. A method for tracking movement, position, or both of a tongue in a subject using the assistive apparatus is also provided.
REFERENCES:
patent: 4054746 (1977-10-01), Kamm
patent: 4303077 (1981-12-01), Lewin et al.
patent: 4334542 (1982-06-01), Takinishi et al.
patent: 5212476 (1993-05-01), Maloney
patent: 5282711 (1994-02-01), Frische
patent: 5460186 (1995-10-01), Buchhold
patent: 5689246 (1997-11-01), Dordick et al.
patent: 5692517 (1997-12-01), Junker
patent: 6370700 (2002-04-01), Arion
patent: 6503197 (2003-01-01), Nemirovski
patent: 6546431 (2003-04-01), Brown et al.
patent: 6598006 (2003-07-01), Honda et al.
patent: 6636763 (2003-10-01), Junker et al.
patent: 6647368 (2003-11-01), Nemirovski
patent: 6671379 (2003-12-01), Nemirovski
patent: 6771190 (2004-08-01), Gordon
patent: 6833786 (2004-12-01), Sun et al.
patent: 6847725 (2005-01-01), Neuman et al.
patent: 6971993 (2005-12-01), Fletcher
patent: 7071844 (2006-07-01), Moise
patent: 7091875 (2006-08-01), Ondracek
patent: 2009/0051564 (2009-02-01), Najanguaq Sovso Andreasen Strujik
patent: 2010/0007512 (2010-01-01), Ghovanloo et al.
patent: WO2007/053562 (2007-05-01), None
Barea et al., “E.O.G. guidance of a wheelchair using neural networks,” Proceedings of the 15thInternational Conference on Pattern Recognition. vol. 4 pp. 668-671 (2000).
Rinard et al., “An Infrared System for Determining Ocular Position,” ISA Transactions. vol. 19, No. 4 pp. 3-6 (1980).
Young, L.R., and Sheena, D., “Methods & Designs. Survey of eye movement recording methods,” Behavior Research Methods & Instrumentation. vol. 7, No. 5 pp. 397-429 (1975).
Allegro A1321, Ratiometric Linear Hall Effect Sensor ICs for High-Temperature Operation, data sheet, Available: http://www.allegromicro.com/datafile/1321.pdf (13 pages) (Accessed on May 13, 2011).
Allegro A1391, Micro Power 3 V Linear Hall Effect Sensor with Tri-State Output and User-Selectable Sleep Mode, datasheet, Available: http://www.allegromicro.com/en/Products/Part—Numbers/1391/ (2 pages) (Accessed on May 13, 2011).
Assistive Products: Technology Devices. Available: http://www.wheelchairnet.org/WCN—ProdServ/Products/OtherATprod.html (9 pages) (Accessed on May 13, 2011).
Barea et al., “System for Assisted Mobility Using Eye Movements Based on Electrooculography,” IEEE Transactions on Neural Systems and Rehabilitation Engineering. vol. 10, No. 4 pp. 209-218 (2002).
Betke et al., “The Camera Mouse: Visual Tracking of Body Features to Provide Computer Access for People With Severe Disabilities,” IEEE Transactions on Neural Systems and Rehabilitation Engineering. vol. 10, No. 1 pp. 1-10 (2002).
Beverina et al., “User adaptive BCIs: SSVEP and P300 based interfaces,” PsychNology Journal. vol. 1, No. 4 pp. 331-354 (2003).
BrainGate™ Neural Interface System, Available: http://www.cyberkinetics.com/content/medicalproducts/braingate.jsp (2 pages) (Accessed on May 13, 2011).
Chen et al., “The New Design of an Infrared-Controlled Human-Computer Interface for the Disabled,” IEEE Transactions on Rehabilitation Engineering. vol. 7, No. 4 pp. 474-481 (1999).
Chen, “Application of Tilt Sensors in Human-Computer Mouse Interface for People With Disabilities,” IEEE Transactions on Neural Systems and Rehabilitation Engineering. vol. 9, No. 3 pp. 289-294 (2001).
Cyberlink™ Brainfingers™ Solution, http://www.brainfingers.com (accessed on May 13, 2011) (1 page).
Dryden, “Let's Get Physical (High-g Tolerance),” Code One Magazine Online. pp. 1-3 (1986). http://www.codeonemagazine.com/archives/1986/articles/apr—86/physical/index.html (accessed on Oct. 25, 2006).
Eco: Ultra Compact and Low Power Wireless Sensor Node, Available: http://embedded.ece.uci.edu/˜kilby/eco.htm (5 pages) (Accessed on May 13, 2011).
Felzer, T., and Freisleben, B., “HaWCoS: The ‘Hands-free’ Wheelchair Control System,” Proceedings of ASSETS. pp. 127-134 (2002).
Girardi, “Tongue-touch controls give Ben a more satisfying, self-sufficient lifestyle,” TeamRehab Report. pp. 15-17 (1997).
Harrysson et al., “Application of SFF to Preoperative Planning and Surgical Rehearsal for Treatment of Limb Deformities in Dogs,” Rapid Prototyping Journal. vol. 9, No. 1 pp. 37-42 (2003).
Hinterberger et al., “Brain-Computer Communication and Slow Cortial Potentials,” IEEE Transactions on Biomedical Engineering. vol. 51 pp. 1011-1018 (2004).
HMC proportional devices, Available: http://www.hmc-products.com/index.php?id=456 (2 pages) (Accessed on May 13, 2011).
Http://orin.com/access/headmouse/index.htm (5 pages) (Accessed May 13, 2011).
Http://www.tinyos.net (1 page) (Accessed on May 13, 2011).
Huo et al., “Introduction and preliminary evaluation of the Tongue Drive System: Wireless tongue-operated assistive technology for people with little or no upper-limb function,” Journal of Rehabilitation Research and Development. vol. 45, No. 6 pp. 921-930 (2008).
Hutchinson et al., “Human-Computer Interaction Using Eye-Gaze Input,” IEEE Transactions on Systems, Man, and Cybernetics. vol. 19, No. 6 pp. 1527-1534 (1989).
Integrated Compass Sensor HMC6052. Honeywell. Preliminary Information, 6 pages, www.honeywell.com (2005).
Krishnamurthy, G., and Ghovanloo, M., “Tongue Drive: A Tongue Operated Magnetic Sensor Based Wireless Assistive Technology for People with Severe Disabilities,” Proceedings of the IEEE International Symposium on Circuits and Systems. (ISCAS-2006), May 2006 (4 pages).
Lau, C., and O'Leary, S., “Comparison of Computer Interface Devices for Persons With Severe Physical Disabilities,” The American Journal of Occupational Therapy. vol. 47, No. 11 pp. 1022-1030 (1993).
Linear/Angular/Rotary Displacement Sensors HMC1501/HMC1512. Honeywell Sensor Products, 4 pages.
Makeig et al., “A Natural Basis for Efficient Brain-Actuated Control,” IEEE Transactions on Rehabilitation Engineering. vol. 8, No. 2 pp. 208-211 (2000).
Melexis, Hall Application Guide, Available: http://www.melexis.com/Asset.aspx?nID=3715 (49 pages) (Accessed on May 13, 2011).
National Institute of Neurological Disorders and Stroke (NINDS), NIH, “Spinal Cord Injury: Hope Through Research,” Available: http://www.ninds.nih.gov/disorders/sci/detail—sci.htm (20 pages) (Accessed on May 13, 2011).
Natural Point, TrackIR, Available: http://www.eyecontrol.com/trackir/ (1 page) (Accessed on May 13, 2011).
Neural Signals Inc., Brain-Computer Interfacing, Available: http://www.neuralsignals.com/index.htm (1 page) (Accessed on May 13, 2011).
Notification Concerning Transmittal of International Preliminary Report on Patentability (Chapter I of the Patent Cooperation Treaty) corresponding to International Patent Application No. PCT/US2006/042346 dated May 15, 2008.
Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration corresponding to International Patent Application No. PCT/US2006/042346 dated Oct. 23, 2007.
Nutt et al., “Tongue-mouse for quadriplegics,” Journal of Micromechanics and Microengineering. vol. 8, No. 2 pp. 155-157 (1998).
PNI MicroMag2 2-Axis Magnetic Sensor Module, PNI Corporation, Santa Rosa, CA pp. 1-20 (2005).
Pregenzer, M. and Pfurtscheller, G., “Frequency component selection for an EEG-based brain to computer interface,” IEEE Transactions on Rehabilitation Engin
Ghovanloo Maysam
Krishnamurthy Gautham
Jenkins Wilson Taylor & Hunt, P.A.
Lee Benjamin C
Mehravari Peter
North Carolina State University
LandOfFree
Tongue operated magnetic sensor based wireless assistive... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Tongue operated magnetic sensor based wireless assistive..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Tongue operated magnetic sensor based wireless assistive... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4269292