Parrish, Nathan VerDon ; Anderson, David V. Electrical and Computer Engineering Davenport, Mark A. Klein, Benjamin D. B. Inan, Omer T. Kacher, Joshua P. ; Anderson, David V.
Prior Work in the GTBionics Lab at Georgia Tech has lead to the designof an assistive technology device for people with quadriplegia in the form of a wearable headset incorporating multiple magnetic sensors for measuring magnetic fields generated by a rare-earth magnet placed on a patient’s tongue. The aim is to trackthis magnet, and thereby the tongue’s position, and then use those measurements to issue commands to a computer or smart phone. Past versions of the headset haveused classification techniques to accomplish this, but it has been a desideratum to provide more refined tracking and proportional control. The intended nonlinear filtering algorithms require model estimation. Performing estimation requires access to calibrated measurements with known sensor orientations and positions. The sensor positions are flexible to the user, so it is necessary to find these values without the use of specialized equipment. The presented research describes a sequence of methods to synthesize the sensor information and estimate the model parameters;implementation considerations and potential problems are also presented.
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System configuration for proportional control of an assistive technology for patients with cervical spinal cord injuries