A 16-electrode biomimetic electrostatic imaging system for ocean use

Friedman, Jonathan; Herman, Henry; Truong, Newton; Srivastava, Mani

doi:10.1109/icsens.2011.6127298

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Friedman et al developed and characterize an artificial system which seeks to mimic electroreceptive capability [27]. Friedman creates an engineered electroreception sensor and it can visualize targets in ocean environment background by detecting perturbations in an electrostatics field [28]. Gottwalda et al developed electrolocation technical sensor systems to detect and analyze the walls of fluid filled pipes [29].…”

Section: Introductionmentioning

confidence: 99%

A study of amplitude information-frequency characteristics for underwater active electrolocation system

Peng

2015

Bioinspir. Biomim.

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Weakly electric fish sense their surroundings in complete darkness by their active electrolocation system. For biologists, the active electrolocation system has been investigated for near 60 years. And for engineers, bio-inspired active electrolocation sensor has been investigated for about 20 years. But how the amplitude information response will be affected by frequencies of detecting electric fields in the active electrolocation system was rarely investigated. In this paper, an electrolocation experiment system has been built. The amplitude information-frequency characteristics (AIFC) of the electrolocation system for sinusoidal electric fields of varying frequencies have been investigated. We find that AIFC of the electrolocation system have relevance to the material properties and geometric features of the probed object and conductivity of surrounding water. Detect frequency dead zone (DFDZ) and frequency inflection point (FIP) of AIFC for the electrolocation system were found. The analysis model of the electrolocation system has been investigated for many years, but DFDZ and FIP of AIFC can be difficult to explain by those models. In order to explain those AIFC phenomena for the electrolocation system, a simple relaxation model based on Cole-Cole model which is not only a mathematical explanation but it is a physical one for the electrolocation system was advanced. We also advance a hypothesis for physical mechanism of weakly electrical fish electrolocation system. It may have reference value for physical mechanism of weakly electrical fish active electrolocation system.

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Section: Introductionmentioning

confidence: 99%

A study of amplitude information-frequency characteristics for underwater active electrolocation system

Peng

2015

Bioinspir. Biomim.

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“…In 2003, the influence of several objects on the active electrolocation system of weakly electric fish was studied by Adriana Migliaro et al The results demonstrated that the electric field information was not a simple linear overlay of each object, but the electric fields affected each other when multiple objects surrounded the fish [11]. In fact, there are many factors that affect the electrical image: the volume of the object, some physical and chemical characteristics of the object, the distance of the object from the weakly electric fish, the conductivity of the object, and the conductivity of the medium environment [5,12,13]. In 2003, Lebastard et al practically applied it to underwater active electrolocation and tried to measure the size of the object [14].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Object Geometric Features on Frequency Inflection Point of Underwater Active Electrolocation System

Han

Peng

et al. 2021

JMSE

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Biologists have discovered a kind of weakly electric fish that identifies its prey by using active electrolocation in virtual darkness. In this study, we built an underwater active electrolocation system platform designed to investigate the biological mechanism allowing these fish to distinguish objects and determine how the amplitude information-frequency characteristic (AIFC) response are affected by the geometric characteristics of target objects in the active electrolocation system. We used a single-frequency sinusoidal signal to scan metal objects in different orientations and observed the amplitude information response variation of the disturbed detection signal. The detection frequency dead zone (DFDZ) and the frequency inflection point (FIP) were used to characterize the variation. In addition, we repeated the experiments after replacing the metal objects with objects of different materials and geometric characteristics to summarize the general laws. Our results showed that the FIP value of the detection signal was lowest when the object was detected in the orientation of its corner and highest when the object was detected in the orientation of its surface. The geometrical characteristics of metal objects in different orientations have a certain influence on the amplitude of the detection signal. Article Highlights: (1) The general law between the shape of metal probed objects, and electric field detection signal was found and summarized. (2) We used a single-frequency sinusoidal signal to scan regular metal probed objects, and it was found that the frequency inflection point (FIP) of the metal probed objects edge was the highest, whereas that of the corner was the lowest. (3) The shape of a metal object can be recognized by scanning regular metal objects with an electric field signal.

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“…They developed form ulae for the effective admittivity of suspensions of cells and characterized their dependence on frequency using membrane polarization tensors [12]. Inspired by bioelectrolocation, active electrolocation technology has been used for material positioning, navigation, and visual functions [13,14]. For example, the technology has been employed for the detection of arteriosclerosis in blood [15,16] and for identifying bubbles in fluids or in materials whose conductivity differs from fluids [17].…”

Section: Introductionmentioning

confidence: 99%

Amplitude information-frequency characteristics for multi-frequency excitation of underwater active electrolocation systems

2019

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Underwater active electrolocation technology is a new kind of technology for underwater detection and environmental perception, whose discovery was inspired by the active electrolocation systems of weakly electric fish. The amplitude information-frequency characteristics (AIFC) obtained by an underwater active electrolocation system (UAES) can effectively assess information about probed objects, such as their material composition, shape, and conductivity. Traditionally, single-frequency excitation has been employed in a UAES, which can make object detection inefficient and timeconsuming. We employed multi-frequency signals for excitation in a UAES, to improve the efficiency of detection. We used three kinds of multi-frequency excitation signals-square wave, single pulse, and biphasic pulse, to detect objects under water. To improve the accuracy of measurements, we developed an AIFC recognition algorithm. The experimental results showed that the multifrequency excitation detection method is effective and feasible. We demonstrated that the electrodes are strongly coupled to the UAES and can result in non-negligible errors that have often been previously ignored. In addition, graphite electrodes performed much better than titanium electrodes for multi-frequency signal detection, and bio-inspired multi-frequency pulse excitation signals gave more accurate results than the square-wave signal.

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A 16-electrode biomimetic electrostatic imaging system for ocean use

Cited by 7 publications

References 12 publications

A study of amplitude information-frequency characteristics for underwater active electrolocation system

A study of amplitude information-frequency characteristics for underwater active electrolocation system

The Effect of Object Geometric Features on Frequency Inflection Point of Underwater Active Electrolocation System

Amplitude information-frequency characteristics for multi-frequency excitation of underwater active electrolocation systems

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