Title :
Magnetic Resonance-Compatible Tactile Force Sensor Using Fiber Optics and Vision Sensor
Author :
Hui Xie ; Jiang, Aimin ; Wurdemann, H.A. ; Hongbin Liu ; Seneviratne, Lakmal D. ; Althoefer, Kaspar
Author_Institution :
Dept. of Inf., King´s Coll. London, London, UK
Abstract :
This paper presents a fiber optic based tactile array sensor that can be employed in magnetic resonance environments. In contrast to conventional sensing approaches, such as resistive or capacitive-based sensing methods, which strongly rely on the generation and transmission of electronics signals, here electromagnetically isolated optical fibers were utilized to develop the tactile array sensor. The individual sensing elements of the proposed sensor detect normal forces; fusing the information from the individual elements allows the perception of the shape of probed objects. Applied forces deform a micro-flexure inside each sensor tactel, displacing a miniature mirror which, in turn, modulates the light intensity introduced by a transmitting fiber connected to a light source at its proximal end. For each tactel, the light intensity is read by a receiving fiber connected directly to a 2-D vision sensor. Computer software, such as MATLAB, is used to process the images received by the vision sensor. The calibration process was conducted by relating the applied forces to the number of activated pixels for each image received from a receiving fiber. The proposed approach allows the concurrent acquisition of data from multiple tactile sensor elements using a vision sensor such as a standard video camera. Test results of force responses and shape detection have proven the viability of this sensing concept.
Keywords :
bending; calibration; data acquisition; electromagnetic devices; fibre optic sensors; force measurement; force sensors; image sensors; intensity modulation; light sources; magnetic resonance imaging; magnetic sensors; micromirrors; microsensors; sensor arrays; sensor fusion; signal generators; tactile sensors; video cameras; 2D vision sensor; MATLAB computer software; calibration process; capacitive-based sensing method; data acquisition; electromagnetically isolated optical fiber sensor; electronics signal generation; electronics signal transmission; fiber transmission; force detection; information fusion; light intensity modulation; light source; magnetic resonance-compatible tactile force sensor array; microflexure deformation; multiple tactile sensor element; probed object shape perception; resistive-based sensing method; standard video camera; Force; Optical fiber polarization; Optical fiber sensors; Robot sensing systems; Surgery; Tactile array sensor; fiber optics; vision sensor;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2013.2281591