Data fusion for a hand prosthesis tactile feedback system

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.


Published in:
Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE, 604 - 607
Presented at:
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS 2014), Lausanne, Switzerland, October 22-24, 2014
Year:
2014
Publisher:
IEEE
Keywords:
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 Record created 2015-11-06, last modified 2018-01-28

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