Title :
Adaptive human-machine interface for persons with tremor
Author :
Riviere, Cameron N. ; Thakor, Nitish V.
Author_Institution :
Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
A new adaptive filter has been developed to model pathological tremor during human-machine interaction. Operating online, the system suppresses tremor to improve precision in human-machine control. Offline, the system processes recorded data to quantify tremor for clinical use. The filter estimates tremor frequency as well as amplitude, adapting the reference input frequency to follow frequency modulation of tremor. The algorithm is computationally inexpensive and simple to implement in many human-machine interface applications. Experimental results are presented
Keywords :
adaptive filters; biocontrol; biomechanics; frequency modulation; handicapped aids; medical signal processing; physiological models; user interfaces; adaptive human-machine interface; computationally inexpensive algorithm; computer mice; computer pen input; human-machine control; involuntary motion; pathological tremor model; persons with tremor; reference input frequency; tremor amplitude; tremor frequency; tremor suppression; Adaptive filters; Cutoff frequency; Filtering; Frequency estimation; Frequency modulation; Low pass filters; Man machine systems; Pathology; Personal digital assistants; Signal processing algorithms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579637
