Data fusion for a hand prosthesis tactile feedback system

Author

Huaiqi Huang ; Enz, Christian ; Grambone, Martin ; Justiz, Jorn ; Tao Li ; Unsal, Ozan ; Koch, Volker M.

Author_Institution

Inst. for Human Centered Eng., Bern Univ. of Appl. Sci., Biel, Switzerland

fYear

2014

fDate

22-24 Oct. 2014

Firstpage

604

Lastpage

607

Abstract

Current myoelectrically controlled hand prostheses normally lack tactile feedback, thus limiting their functionalities and user acceptance. We propose a non-invasive tactile sensory feedback system, consisting miniaturized sensors, wireless communication module and vibrotactile actuators, aiming at providing a natural sense of touch to amputees. We model the tactile feedback chain from tactile sensors to actuators. This model includes a 2D hand model, a sensor data fusion model, and a phantom map model. We implemented the sensor data fusion model by different techniques and compared their performance.

Keywords

actuators; electromyography; phantoms; prosthetics; sensor fusion; tactile sensors; touch (physiological); wireless sensor networks; 2D hand model; amputees; current myoelectrical controlled hand prostheses; data fusion model; hand prosthesis tactile feedback system; miniaturized sensors; noninvasive tactile sensory feedback system; phantom map model; tactile actuators; tactile feedback chain; touch; vibrotactile actuators; wireless communication module; Actuators; Data models; Mathematical model; Phantoms; Support vector machines; Tactile sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE

Conference_Location

Lausanne

Type

conf

DOI

10.1109/BioCAS.2014.6981798

Filename

6981798