In this paper, we propose an improved UWB based indoor localization system using Bayesian filtering techniques. The system contains two key components: (1) miniaturized, high updating rate and highly reconfigurable UWB sensors with a linear regression model to calibrate range measurement errors; (2) a set of Bayesian filters which can improve the localization precision by utilizing the spatial correlation between the stationary UWB base stations and the mobile UWB station. Furthermore, a novel measurement transform is proposed to reduce the computational complexity. Experiments are performed in an indoor environment with the ground truth obtained by the motion capture system to validate and evaluate the proposed indoor localization system.
{"title":"Linear Bayesian Filter Based Low-Cost UWB Systems for Indoor Mobile Robot Localization","authors":"Shuai Zhang, Ruihua Han, Wankuan Huang, Shuaijun Wang, Qi Hao","doi":"10.1109/ICSENS.2018.8589829","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589829","url":null,"abstract":"In this paper, we propose an improved UWB based indoor localization system using Bayesian filtering techniques. The system contains two key components: (1) miniaturized, high updating rate and highly reconfigurable UWB sensors with a linear regression model to calibrate range measurement errors; (2) a set of Bayesian filters which can improve the localization precision by utilizing the spatial correlation between the stationary UWB base stations and the mobile UWB station. Furthermore, a novel measurement transform is proposed to reduce the computational complexity. Experiments are performed in an indoor environment with the ground truth obtained by the motion capture system to validate and evaluate the proposed indoor localization system.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"150 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124609477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589622
Jiwei Huo, Ze Liu, Jun Xiao, Pengfei Zhao, Yong Li
Rail inspection is the most important maintenance method for the safety of rail transportation. With the advantages of noncontact inspection, electromagnetic tomography can be an ideal technique to realize online inspection. In this paper, a novel Electromagnetic Tomography rail inspection prototype developed with Field Programmable Gate Array(FPGA) as front circuit control and signal demodulation unit. The rail inspection sensor designed with 12 coils matrix formed as “L” shape to meet the wheel and track running condition. In the sensor matrix four excitation coils are excited by four individual direct digital synthesizer(DDS) implemented by FPGA. Four signals with four optimized frequencies applied simultaneously to excite four tomographic projection. Other coils pairs in the array are acting as detection coils to measure response signals at the same time. This excitation strategy makes the four projection of electromagnetic tomography applied parallel to improve the efficiency of inspection. The measurement coils' output signals demodulated by FPGA in real time and then the demodulation results are transferred to an image reconstruction computer with user diagram protocol(UDP) by Ethernet. Linear Back Projection image reconstruction algorithm used to reconstruct the rail defect to meet the construction speed requirement. Rail inspection experiments show that the prototype is feasible to be used in real time rail inspection.
{"title":"Development of Online Electromagnetic Tomography Demodulation System for Rail Defect Inspection","authors":"Jiwei Huo, Ze Liu, Jun Xiao, Pengfei Zhao, Yong Li","doi":"10.1109/ICSENS.2018.8589622","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589622","url":null,"abstract":"Rail inspection is the most important maintenance method for the safety of rail transportation. With the advantages of noncontact inspection, electromagnetic tomography can be an ideal technique to realize online inspection. In this paper, a novel Electromagnetic Tomography rail inspection prototype developed with Field Programmable Gate Array(FPGA) as front circuit control and signal demodulation unit. The rail inspection sensor designed with 12 coils matrix formed as “L” shape to meet the wheel and track running condition. In the sensor matrix four excitation coils are excited by four individual direct digital synthesizer(DDS) implemented by FPGA. Four signals with four optimized frequencies applied simultaneously to excite four tomographic projection. Other coils pairs in the array are acting as detection coils to measure response signals at the same time. This excitation strategy makes the four projection of electromagnetic tomography applied parallel to improve the efficiency of inspection. The measurement coils' output signals demodulated by FPGA in real time and then the demodulation results are transferred to an image reconstruction computer with user diagram protocol(UDP) by Ethernet. Linear Back Projection image reconstruction algorithm used to reconstruct the rail defect to meet the construction speed requirement. Rail inspection experiments show that the prototype is feasible to be used in real time rail inspection.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124629928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589689
Priyanka Dwivedi, S. Dhanekar
In recent times ‘drink and drive’ is one of the major causes for highway accidents. These types of accidents occur due to drowsiness when the drunk driver is unable to control the vehicle. Alcohol breathalyzer is one of the essential devices which uses non-invasive technique to measure the content of alcohol in human breath and correlates to the alcohol concentration in the blood. As per the National and International standards, a driver is found guilty if the alcohol content in his breath is found to be ≥ 700 ppm. It is therefore, required for this sensor to be efficiently detecting alcohol in low levels at room temperature. Apart from this, few other desirable parameters of a sensor are selectivity, stability, repeatability and low power consumption. In this demo, we will demonstrate a real-time lab prototype which will detect level of alcohol in human breath. This kind of device will be extremely useful to traffic police for keeping vigilance on drink and drive cases.
{"title":"Live Demonstration of Alcohol Prototype for Drunken Drive Case","authors":"Priyanka Dwivedi, S. Dhanekar","doi":"10.1109/ICSENS.2018.8589689","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589689","url":null,"abstract":"In recent times ‘drink and drive’ is one of the major causes for highway accidents. These types of accidents occur due to drowsiness when the drunk driver is unable to control the vehicle. Alcohol breathalyzer is one of the essential devices which uses non-invasive technique to measure the content of alcohol in human breath and correlates to the alcohol concentration in the blood. As per the National and International standards, a driver is found guilty if the alcohol content in his breath is found to be ≥ 700 ppm. It is therefore, required for this sensor to be efficiently detecting alcohol in low levels at room temperature. Apart from this, few other desirable parameters of a sensor are selectivity, stability, repeatability and low power consumption. In this demo, we will demonstrate a real-time lab prototype which will detect level of alcohol in human breath. This kind of device will be extremely useful to traffic police for keeping vigilance on drink and drive cases.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124677958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589598
Camilla Konermann, Frank Bunge, S. Driesche, M. Vellekoop
We present an approach and device to monitor on-chip bacteria growth based on the absorption measurement with a low limit of detection. Because of the small height of microfluidic channels, a standard optical density method is not applicable. In our approach, the optical path is 20 times longer by performing an in-plane optical density measurement compared to an out-of-plane approach so that the sensitivity is improved. An LED (580 nm center wavelength) is used to propagate light through a sample in the measurement channel. The passing light intensity is measured at the outlet by a photodiode. The relation between the absorbed light and the bacteria concentration agrees well with the theory. A particular focus is laid on reproducible setup based on 3D-printed holders where external disturbances such as ambient light are minimized. In combination with the increased sensitivity, the limit of detection is only 1.5. 106bac/mL. By applying the method of this contribution, additional standard laboratory operations can be integrated into chips.
{"title":"μfluidic Sensor for Optical Monitoring of Bacteria Growth with Improved Limit of Detection","authors":"Camilla Konermann, Frank Bunge, S. Driesche, M. Vellekoop","doi":"10.1109/ICSENS.2018.8589598","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589598","url":null,"abstract":"We present an approach and device to monitor on-chip bacteria growth based on the absorption measurement with a low limit of detection. Because of the small height of microfluidic channels, a standard optical density method is not applicable. In our approach, the optical path is 20 times longer by performing an in-plane optical density measurement compared to an out-of-plane approach so that the sensitivity is improved. An LED (580 nm center wavelength) is used to propagate light through a sample in the measurement channel. The passing light intensity is measured at the outlet by a photodiode. The relation between the absorbed light and the bacteria concentration agrees well with the theory. A particular focus is laid on reproducible setup based on 3D-printed holders where external disturbances such as ambient light are minimized. In combination with the increased sensitivity, the limit of detection is only 1.5. 106bac/mL. By applying the method of this contribution, additional standard laboratory operations can be integrated into chips.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129463105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589724
L. Maiolo, S. Bruno, I. Lucarini, A. Pecora, A. D. Iacovo, L. Colace
In this paper, we investigate the sensitivity and selectivity of lead sulphide colloidal quantum dots (CQDs) gas sensor. The benefits of CQDs, compared to commercial bulk sensor gas, are a large surface/volume ratio, a lower operating temperature, an easy deposition process and a precise control of dimensions to increase sensor sensitivity. The sensor is based on a chemo-resistive device with an active layer composed by PbS CQDs deposited on interdigitated metal contacts with a ligand exchange treatment. The sensor performance are validated on different gas pollutants (NO2, NO, CO2and CO) for increasing gas concentrations and times. The sensor shows high selectivity towards NO and NO2against CO and CO2at room temperature.
本文研究了硫化铅胶体量子点(CQDs)气体传感器的灵敏度和选择性。与商用散装传感器气体相比，CQDs的优点是表面积/体积比大，工作温度较低，沉积过程简单，尺寸控制精确，可提高传感器灵敏度。该传感器基于化学电阻器件，其有源层由PbS CQDs组成，经配体交换处理沉积在互指金属触点上。在不同的气体污染物(NO2, NO, co2和CO)上验证了传感器的性能，以增加气体浓度和次数。在室温下，该传感器对NO和no2具有较高的选择性。
{"title":"Chemo-Resistive Gas Sensors Based on PbS Colloidal Quantum Dots","authors":"L. Maiolo, S. Bruno, I. Lucarini, A. Pecora, A. D. Iacovo, L. Colace","doi":"10.1109/ICSENS.2018.8589724","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589724","url":null,"abstract":"In this paper, we investigate the sensitivity and selectivity of lead sulphide colloidal quantum dots (CQDs) gas sensor. The benefits of CQDs, compared to commercial bulk sensor gas, are a large surface/volume ratio, a lower operating temperature, an easy deposition process and a precise control of dimensions to increase sensor sensitivity. The sensor is based on a chemo-resistive device with an active layer composed by PbS CQDs deposited on interdigitated metal contacts with a ligand exchange treatment. The sensor performance are validated on different gas pollutants (NO2, NO, CO2and CO) for increasing gas concentrations and times. The sensor shows high selectivity towards NO and NO2against CO and CO2at room temperature.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128990363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589599
B. Lawson, K. Aguir, Z. Haddi, T. Fiorido, R. Bouchakour, M. Bendahan
An average proportion of 1% of total alcohol consumed by humans is eliminated through the skin, thus causing the increase of ethanol vapor concentration emitted by the skin [1]. However, one of the major interferences of ethanol detection on the skin is the acetone. Skin acetone is generated from a natural metabolic intermediate of endogenous lipolysis in human and is considered as biomarker of ketotic state of diabetic [2]. Here, we propose to improve the ethanol selectivity of our tin dioxide sensors by using multivariate analysis techniques such as the Principal Component Analysis (PCA). This paper describes the rapid and accurate identification of different compounds such as ethanol, acetone and humidity due to this method in order to recognize ethanol in perspiration.
{"title":"Toward a Selective Detection of Ethanol by Perspiration","authors":"B. Lawson, K. Aguir, Z. Haddi, T. Fiorido, R. Bouchakour, M. Bendahan","doi":"10.1109/ICSENS.2018.8589599","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589599","url":null,"abstract":"An average proportion of 1% of total alcohol consumed by humans is eliminated through the skin, thus causing the increase of ethanol vapor concentration emitted by the skin [1]. However, one of the major interferences of ethanol detection on the skin is the acetone. Skin acetone is generated from a natural metabolic intermediate of endogenous lipolysis in human and is considered as biomarker of ketotic state of diabetic [2]. Here, we propose to improve the ethanol selectivity of our tin dioxide sensors by using multivariate analysis techniques such as the Principal Component Analysis (PCA). This paper describes the rapid and accurate identification of different compounds such as ethanol, acetone and humidity due to this method in order to recognize ethanol in perspiration.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129179881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8630288
M. Palla, David B. Thompson, G. Church
Nanopore sequencing technology is an emerging method for achieving long sequence reads on single DNA molecules without prior sample amplification. Detection involves changes in current across a membrane through a self-assembling protein nanopore complex. Each pore is associated with a single electrode within a complementary metal-oxide semiconductor (CMOS) array, enabling detection of single-molecule events. Extending these capabilities, we describe here a nanopore-based method to detect specific DNA molecules through binding to a Cas9:gRNA complex. Specifically, we generated a recombinant protein tool for the assembly of a functional Cas9 or dCas9 molecules on a nanopore array. To date, we have demonstrated that the construct is functional, recruits appropriately designed gRNA molecules, and binds to target DNA molecules while failing to bind non-target DNA. We believe that our Cas9-functionalized nanopore method may have utility in both basic research and clinical diagnostic applications by enabling single-molecule kinetic characterization of the enzyme, potentially offering novel insights into the mechanism of Cas9 catalytic cycle.
{"title":"Single-Molecule Characterization of a Nanopore-Coupled Cas9 Protein on an Electrode Array","authors":"M. Palla, David B. Thompson, G. Church","doi":"10.1109/ICSENS.2018.8630288","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8630288","url":null,"abstract":"Nanopore sequencing technology is an emerging method for achieving long sequence reads on single DNA molecules without prior sample amplification. Detection involves changes in current across a membrane through a self-assembling protein nanopore complex. Each pore is associated with a single electrode within a complementary metal-oxide semiconductor (CMOS) array, enabling detection of single-molecule events. Extending these capabilities, we describe here a nanopore-based method to detect specific DNA molecules through binding to a Cas9:gRNA complex. Specifically, we generated a recombinant protein tool for the assembly of a functional Cas9 or dCas9 molecules on a nanopore array. To date, we have demonstrated that the construct is functional, recruits appropriately designed gRNA molecules, and binds to target DNA molecules while failing to bind non-target DNA. We believe that our Cas9-functionalized nanopore method may have utility in both basic research and clinical diagnostic applications by enabling single-molecule kinetic characterization of the enzyme, potentially offering novel insights into the mechanism of Cas9 catalytic cycle.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121282886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589781
A. Bulling, I. Underwood
We present the first reported use of CMOS compatible Single Photon Avalanche Diodes (SPAD) arrays for the detection of accelerated electrons, with the use of 3D-stacked backside illuminated (BSI) SPADs, and a Scanning Electron Microscope (SEM). We detected electrons at electron energies from 5 to 30 keV. This unveils an array of novel application detection opportunities for SPADs in particle radiation environments, taking advantage of their inherent sensitivity and timing capabilities, along with all the usual benefits associated with CMOS devices.
{"title":"Accelerated Electron Detection Using Single Photon Avalanche Diodes","authors":"A. Bulling, I. Underwood","doi":"10.1109/ICSENS.2018.8589781","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589781","url":null,"abstract":"We present the first reported use of CMOS compatible Single Photon Avalanche Diodes (SPAD) arrays for the detection of accelerated electrons, with the use of 3D-stacked backside illuminated (BSI) SPADs, and a Scanning Electron Microscope (SEM). We detected electrons at electron energies from 5 to 30 keV. This unveils an array of novel application detection opportunities for SPADs in particle radiation environments, taking advantage of their inherent sensitivity and timing capabilities, along with all the usual benefits associated with CMOS devices.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116283268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589727
Sakshi Agrawal, Brian K. Dean
The compound vision system of a common housefly, Musca Domestica, has better motion detection and tracking capabilities as compared to traditional camera systems based on human vision. Therefore, a compound vision sensor that mimics the vision of a common housefly is far more advantageous in applications requiring object detection and obstacle avoidance. Recent proof-of-concept has shown that compound vision sensors possess motion hyperacuity characteristic of the fly's visual system with instantaneous edge detection capability; without the need of a computer processing system. However, the current Musca domestica inspired vision system, with one cartridge, cannot detect edges at the center of its field of view. In this paper, multi-cartridge sensor designs have been presented that allow more robust edge detection and orientation capability to the compound vision sensor design.
{"title":"Multiple Cartridges Improve Edge Detection Algorithm for Fly Inspired Vision System","authors":"Sakshi Agrawal, Brian K. Dean","doi":"10.1109/ICSENS.2018.8589727","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589727","url":null,"abstract":"The compound vision system of a common housefly, Musca Domestica, has better motion detection and tracking capabilities as compared to traditional camera systems based on human vision. Therefore, a compound vision sensor that mimics the vision of a common housefly is far more advantageous in applications requiring object detection and obstacle avoidance. Recent proof-of-concept has shown that compound vision sensors possess motion hyperacuity characteristic of the fly's visual system with instantaneous edge detection capability; without the need of a computer processing system. However, the current Musca domestica inspired vision system, with one cartridge, cannot detect edges at the center of its field of view. In this paper, multi-cartridge sensor designs have been presented that allow more robust edge detection and orientation capability to the compound vision sensor design.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116315093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589837
Raj Rakshit, A. Sinharay
This paper reports a novel ultrasound technique for detecting eye-blinks from a distance. Most commonly available non-contact eye blink detection techniques are based on video detection. However, video camera based detection technique depends heavily on background illumination and are resource starving in nature. In this work, we primarily focus on ultrasound phase measurement technique to come up with an affordable yet sensitive system to detect eye blink events from a distance. In fact, the solution is built using readily available off-the shelve 40 kHz air-couple transducers, a 555 timer IC, a multiplier chip along with a few standard op-amps. The developed solution can find application where measurements are taken in control environments such as Brain-Computer Interfacing (BCI) projects to remove eye-blinks from Electroencephalography (EEG) signals.
{"title":"Affordable Design Realization for Ultrasound Based Non-Contact Eye Blink Event Detection","authors":"Raj Rakshit, A. Sinharay","doi":"10.1109/ICSENS.2018.8589837","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589837","url":null,"abstract":"This paper reports a novel ultrasound technique for detecting eye-blinks from a distance. Most commonly available non-contact eye blink detection techniques are based on video detection. However, video camera based detection technique depends heavily on background illumination and are resource starving in nature. In this work, we primarily focus on ultrasound phase measurement technique to come up with an affordable yet sensitive system to detect eye blink events from a distance. In fact, the solution is built using readily available off-the shelve 40 kHz air-couple transducers, a 555 timer IC, a multiplier chip along with a few standard op-amps. The developed solution can find application where measurements are taken in control environments such as Brain-Computer Interfacing (BCI) projects to remove eye-blinks from Electroencephalography (EEG) signals.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121569802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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