Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956569
Patrick Coe, A. Farooq, G. Evreinov, R. Raisamo
Propagating of haptic signals to the finger(s) location from actuators embedded within a mobile device depends on the acoustic impedance of the conductive environment. Parameters of constructive interference such as time-shift and magnitude also play a crucial role in creating effective haptic feedback at the point of contact. However, Propagation of standing waves along deformable surfaces, such as Gorilla glass, quickly attenuates vibration signals, drastically reducing the efficiency of perceivable haptic signals. In order to facilitate signal propagating parameters and create HD haptics, it is necessary to use materials that effectively transfer vibration signals within a mobile device. To minimize attenuation, a display overlay pouch sealed with liquid can be used. In this paper we demonstrate the ability to generate a virtual tactile exciter as the result of the interference maximum of two Tectonic actuators affixed to the display of a Microsoft Surface Go tablet as well as to the display overlay pouch sealed with liquid. For both the liquid mediator and glass surfaces we revealed high similarity in the trend of peak-to-peak values of interference maximum indicated by Excel’s LINEST function (0.9805). We also found that the interference maximum in the pouch sealed with liquid to be 19.06dBV greater than that of the tablet. The results can be used for creating HD haptics and applications.
{"title":"Generating Virtual Tactile Exciter for HD Haptics : A Tectonic Actuators’ Case Study","authors":"Patrick Coe, A. Farooq, G. Evreinov, R. Raisamo","doi":"10.1109/SENSORS43011.2019.8956569","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956569","url":null,"abstract":"Propagating of haptic signals to the finger(s) location from actuators embedded within a mobile device depends on the acoustic impedance of the conductive environment. Parameters of constructive interference such as time-shift and magnitude also play a crucial role in creating effective haptic feedback at the point of contact. However, Propagation of standing waves along deformable surfaces, such as Gorilla glass, quickly attenuates vibration signals, drastically reducing the efficiency of perceivable haptic signals. In order to facilitate signal propagating parameters and create HD haptics, it is necessary to use materials that effectively transfer vibration signals within a mobile device. To minimize attenuation, a display overlay pouch sealed with liquid can be used. In this paper we demonstrate the ability to generate a virtual tactile exciter as the result of the interference maximum of two Tectonic actuators affixed to the display of a Microsoft Surface Go tablet as well as to the display overlay pouch sealed with liquid. For both the liquid mediator and glass surfaces we revealed high similarity in the trend of peak-to-peak values of interference maximum indicated by Excel’s LINEST function (0.9805). We also found that the interference maximum in the pouch sealed with liquid to be 19.06dBV greater than that of the tablet. The results can be used for creating HD haptics and applications.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89867999","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956837
Xiaoyi Wang, Gyuha Lim, W. Xu, Yi-Kuen Lee
For the first time, we conduct the structure optimization of the micro thermal convective accelerometer (MTCA). Firstly, the effects of sensor size (L), the location of detectors (D) and the cover height (H) on the performance are deeply analyzed by means of the proposed theoretical model. Six types of micro thermal convective accelerometers with parallel-stack detectors are fabricated by means of the CMOS compatible fabrication process to enhance the sensitivity. Both the theoretical and experimental results demonstrated that larger sensor size and cover height could improve the sensitivity of MTCA. Additionally, increasing sensor size would lead to a shift of the normalized optimal distance to the heater side. By means of the structure optimization and the parallel-stack method with three pairs of detectors, a MTCA with the sensor length of 1600μm is achieved with an outstanding sensitivity of 7075μV/g (gain=1) and normalized sensitivity/power (S/P) ratio of 201.4 μV/g/mW, which is twenty-fold larger than the state of art.
{"title":"Sensitivity Improvement of Micro Thermal Convective Accelerometer with Structure Optimization: Theoretical and Experimental Studies","authors":"Xiaoyi Wang, Gyuha Lim, W. Xu, Yi-Kuen Lee","doi":"10.1109/SENSORS43011.2019.8956837","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956837","url":null,"abstract":"For the first time, we conduct the structure optimization of the micro thermal convective accelerometer (MTCA). Firstly, the effects of sensor size (L), the location of detectors (D) and the cover height (H) on the performance are deeply analyzed by means of the proposed theoretical model. Six types of micro thermal convective accelerometers with parallel-stack detectors are fabricated by means of the CMOS compatible fabrication process to enhance the sensitivity. Both the theoretical and experimental results demonstrated that larger sensor size and cover height could improve the sensitivity of MTCA. Additionally, increasing sensor size would lead to a shift of the normalized optimal distance to the heater side. By means of the structure optimization and the parallel-stack method with three pairs of detectors, a MTCA with the sensor length of 1600μm is achieved with an outstanding sensitivity of 7075μV/g (gain=1) and normalized sensitivity/power (S/P) ratio of 201.4 μV/g/mW, which is twenty-fold larger than the state of art.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"52 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89915492","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956511
Michael S. A. King, I. Foulds
This paper presents a sensing system for direct monitoring of alcohol distillation. The system controls column temperature while monitoring the temperature of the wash, dielectric constant of distillate, as well as the accumulated mass of the distillate. Fractions of methanol, isopropanol, and water are separated with transitions between the fractions clearly delineated in the data. This study sets the ground work for a low-cost solution to safely controlling small batch distillation.
{"title":"Sensing System for Direct Monitoring of Small Batch Alcohol Distillation","authors":"Michael S. A. King, I. Foulds","doi":"10.1109/SENSORS43011.2019.8956511","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956511","url":null,"abstract":"This paper presents a sensing system for direct monitoring of alcohol distillation. The system controls column temperature while monitoring the temperature of the wash, dielectric constant of distillate, as well as the accumulated mass of the distillate. Fractions of methanol, isopropanol, and water are separated with transitions between the fractions clearly delineated in the data. This study sets the ground work for a low-cost solution to safely controlling small batch distillation.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"29 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87406210","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956694
S. Nessler, Sabrina Kartmann, Lena Mutter, Christoph Grandauer, M. Marx, R. Zengerle, Y. Manoli
The aim of this research is the development of a readout circuit for a low-cost capacitive pressure and flow sensor for medical as well as life science applications. The measuring cells of this sensor, which are in contact with the fluid, is disposable in order to avoid cross-contamination. Compared to previous work [1], the charge output of both measuring cells is directly evaluated differentially and a readout circuit based on chopping is implemented. This greatly improves the stability and eases a subsequent implementation as application specific integrated circuit (ASIC). Measurement results with a prototype PCB implementation show a full scale of more than 100 kPa or 50 μl/s and a RMS noise of the readout circuit lower than 320 μV over the measurement bandwidth of 500 Hz corresponding to a resolution better than 200 Pa or 170 nl/s.
{"title":"A Capacitive Readout Circuit for a Disposable Low-Cost Pressure and Flow Sensor with 200 Pa or 170 nl/s Resolution","authors":"S. Nessler, Sabrina Kartmann, Lena Mutter, Christoph Grandauer, M. Marx, R. Zengerle, Y. Manoli","doi":"10.1109/SENSORS43011.2019.8956694","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956694","url":null,"abstract":"The aim of this research is the development of a readout circuit for a low-cost capacitive pressure and flow sensor for medical as well as life science applications. The measuring cells of this sensor, which are in contact with the fluid, is disposable in order to avoid cross-contamination. Compared to previous work [1], the charge output of both measuring cells is directly evaluated differentially and a readout circuit based on chopping is implemented. This greatly improves the stability and eases a subsequent implementation as application specific integrated circuit (ASIC). Measurement results with a prototype PCB implementation show a full scale of more than 100 kPa or 50 μl/s and a RMS noise of the readout circuit lower than 320 μV over the measurement bandwidth of 500 Hz corresponding to a resolution better than 200 Pa or 170 nl/s.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"31 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88900026","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956859
Eike Grundkötter, J. Melbert
In this paper an energy-autonomous system for wind turbine blade deflection measurement is presented. Monitoring the blade deflection enables the possibility to avoid tower striking, reduce maintenance costs and optimize control parameters. The system consists of one or multiple nodes for motion tracking using inertial measurements and a stationary receiver. The nodes are designed to continuously measure acceleration and angular rate. The raw measurements are transmitted periodically to a base station where further signal processing takes place. The sensor node is developed for application inside a wind turbine blade without accessibility to external power supply. Therefore, an electromagnetic energy harvester has been developed to make use of the wind turbine blade rotation. The requirement of low power consumption is fulfilled by using the latest MEMS sensor technology in combination with an optimized wireless communication protocol based on IEEE 802.15.4 standard and a low power microcontroller. A 100Hz sample rate of the inertial measurement unit (IMU) results in a wireless data stream of 10.8kBits−1 and a total power consumption less than 1.5mW. The blade trajectory can be reconstructed using an algorithm based on Extended Kalman Filters.
{"title":"Energy Self-Sufficient Wireless Sensor Node for Inertial Measurements on Wind Turbine Blades","authors":"Eike Grundkötter, J. Melbert","doi":"10.1109/SENSORS43011.2019.8956859","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956859","url":null,"abstract":"In this paper an energy-autonomous system for wind turbine blade deflection measurement is presented. Monitoring the blade deflection enables the possibility to avoid tower striking, reduce maintenance costs and optimize control parameters. The system consists of one or multiple nodes for motion tracking using inertial measurements and a stationary receiver. The nodes are designed to continuously measure acceleration and angular rate. The raw measurements are transmitted periodically to a base station where further signal processing takes place. The sensor node is developed for application inside a wind turbine blade without accessibility to external power supply. Therefore, an electromagnetic energy harvester has been developed to make use of the wind turbine blade rotation. The requirement of low power consumption is fulfilled by using the latest MEMS sensor technology in combination with an optimized wireless communication protocol based on IEEE 802.15.4 standard and a low power microcontroller. A 100Hz sample rate of the inertial measurement unit (IMU) results in a wireless data stream of 10.8kBits−1 and a total power consumption less than 1.5mW. The blade trajectory can be reconstructed using an algorithm based on Extended Kalman Filters.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"111 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86223431","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956950
Parvin Malekzadeh, Mohammad Salimibeni, M. Atashi, Mihai Barbulescu, K. Plataniotis, Arash Mohammadi
A probabilistic Gaussian mixture model (GMM) of the Received Signal Strength Indicator (RSSI) is proposed to perform indoor localization via Bluetooth Low Energy (BLE) sensors. More specifically, to deal with the fact that RSSI-based solutions are prone to drastic fluctuations, GMMs are trained to more accurately represent the underlying distribution of the RSSI values. For assigning real-time observed RSSI vectors to different zones, first a Kalman Filter is applied to smooth the RSSI vector and form its Gaussian model, which is then compared in distribution with learned GMMs based on Bhattacharyya distance (BD) and via a weighted K-Nearest Neighbor (K-NN) approach.
{"title":"Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors","authors":"Parvin Malekzadeh, Mohammad Salimibeni, M. Atashi, Mihai Barbulescu, K. Plataniotis, Arash Mohammadi","doi":"10.1109/SENSORS43011.2019.8956950","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956950","url":null,"abstract":"A probabilistic Gaussian mixture model (GMM) of the Received Signal Strength Indicator (RSSI) is proposed to perform indoor localization via Bluetooth Low Energy (BLE) sensors. More specifically, to deal with the fact that RSSI-based solutions are prone to drastic fluctuations, GMMs are trained to more accurately represent the underlying distribution of the RSSI values. For assigning real-time observed RSSI vectors to different zones, first a Kalman Filter is applied to smooth the RSSI vector and form its Gaussian model, which is then compared in distribution with learned GMMs based on Bhattacharyya distance (BD) and via a weighted K-Nearest Neighbor (K-NN) approach.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"147 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86114296","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956904
R. Jannesari, G. Pühringer, T. Grille, B. Jakoby
Grating structures with 1D and 2D periodicity and different symmetry are investigated to excite an SPP mode based on doped silicon. It was found that total absorptance can be achieved by an optimized grating with hexagonal symmetry and circle unit cell under normal incidence for a doping concentration of 1×1021cm-3.
{"title":"Using an optimized grating as a mid-IR surface plasmon gas sensor utilizing highly doped silicon","authors":"R. Jannesari, G. Pühringer, T. Grille, B. Jakoby","doi":"10.1109/SENSORS43011.2019.8956904","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956904","url":null,"abstract":"Grating structures with 1D and 2D periodicity and different symmetry are investigated to excite an SPP mode based on doped silicon. It was found that total absorptance can be achieved by an optimized grating with hexagonal symmetry and circle unit cell under normal incidence for a doping concentration of 1×1021cm-3.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"11 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88637320","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956808
G. Barillaro
A number of technologies have been proposed over the years to prepare nano and micro structures and systems for the detection of molecular targets in liquids.Among these technologies, electrochemical etching of silicon has increasingly attracted attention for high-sensitivity (bio)sensing, due to its peculiarity of enabling the fabrication of both nano and micro structures and systems through an effective tuning of the etching features over 4 orders of magnitude, from a few nanometers to tens of micrometers.In this paper, a few recent works on the use of silicon nano-micro structures and systems prepared by electrochemical etching for the high-sensitivity detection of small ions and large biomolecules are presented and discussed.
{"title":"High-Sensitivity (Bio)Sensing With Electrochemically-Etched Silicon Structures and Systems a the Micro- and Nano-Scale","authors":"G. Barillaro","doi":"10.1109/SENSORS43011.2019.8956808","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956808","url":null,"abstract":"A number of technologies have been proposed over the years to prepare nano and micro structures and systems for the detection of molecular targets in liquids.Among these technologies, electrochemical etching of silicon has increasingly attracted attention for high-sensitivity (bio)sensing, due to its peculiarity of enabling the fabrication of both nano and micro structures and systems through an effective tuning of the etching features over 4 orders of magnitude, from a few nanometers to tens of micrometers.In this paper, a few recent works on the use of silicon nano-micro structures and systems prepared by electrochemical etching for the high-sensitivity detection of small ions and large biomolecules are presented and discussed.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"118 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77390930","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956627
D. Beer, T. Joubert
Impedance spectroscopy was performed on Sodium Chloride and Magnesium Sulphate solutions to accurately determine Total Dissolved Solids (TDS) in solution. This was done despite the electrical conductivity measurement (the standard technique for determining TDS) of the two types of aqueous solutions being different at similar TDS levels. A novel method for using impedance spectroscopy to differentiate between the two salts in aqueous solution is described. It was found that impedance values from only two frequencies was enough to discriminate between the Sodium Chloride and Magnesium Sulphate solutions, which means that TDS can accurately be determined from the impedance data as the solute is known. Work is in progress to develop a low-cost version of the system to provide point-of-care water quality monitoring solution to those in need.
{"title":"Impedance Spectroscopy for Determination of Total Dissolved Solids in Aqueous Solutions of Sodium Chloride and Magnesium Sulphate","authors":"D. Beer, T. Joubert","doi":"10.1109/SENSORS43011.2019.8956627","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956627","url":null,"abstract":"Impedance spectroscopy was performed on Sodium Chloride and Magnesium Sulphate solutions to accurately determine Total Dissolved Solids (TDS) in solution. This was done despite the electrical conductivity measurement (the standard technique for determining TDS) of the two types of aqueous solutions being different at similar TDS levels. A novel method for using impedance spectroscopy to differentiate between the two salts in aqueous solution is described. It was found that impedance values from only two frequencies was enough to discriminate between the Sodium Chloride and Magnesium Sulphate solutions, which means that TDS can accurately be determined from the impedance data as the solute is known. Work is in progress to develop a low-cost version of the system to provide point-of-care water quality monitoring solution to those in need.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"51 3","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91477469","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 : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956624
S. Doshi, Colleen Murray, A. Chaudhari, E. Thostenson
Highly sensitive stretch sensors are developed by coating knitted fabrics with carbon nanotubes. An innovative electrophoretic deposition approach is used to deposit a thin and conformal carbon nanotube coating on a nylon-polyesterspandex knitted fabric. The carbon nanotube coating is chemically bonded on the surface of the fibers and creates an electrically conductive network. As a result, these sensors display piezoresistivity; that is, the resistance of the sensor changes due to mechanical deformation. First, the sensing response under tension is characterized using mechanical testing equipment. The sensors are then integrated into compression knee sleeves to investigate sensing response due to knee flexion. When the sensing fabric is stretched, an increase in electrical resistance is observed due to change in the microstructure of the knitted fabric and because of the piezoresistivity of the coating. Under knee flexion, a resistance change of over three thousand percent is detected. The carbon nanotube coated knitted fabrics as flexible stretch sensors have wide-ranging applications in human motion analysis.
{"title":"Carbon Nanotube Coated Textile Sensors with Ultrahigh Sensitivity for Human Motion Detection","authors":"S. Doshi, Colleen Murray, A. Chaudhari, E. Thostenson","doi":"10.1109/SENSORS43011.2019.8956624","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956624","url":null,"abstract":"Highly sensitive stretch sensors are developed by coating knitted fabrics with carbon nanotubes. An innovative electrophoretic deposition approach is used to deposit a thin and conformal carbon nanotube coating on a nylon-polyesterspandex knitted fabric. The carbon nanotube coating is chemically bonded on the surface of the fibers and creates an electrically conductive network. As a result, these sensors display piezoresistivity; that is, the resistance of the sensor changes due to mechanical deformation. First, the sensing response under tension is characterized using mechanical testing equipment. The sensors are then integrated into compression knee sleeves to investigate sensing response due to knee flexion. When the sensing fabric is stretched, an increase in electrical resistance is observed due to change in the microstructure of the knitted fabric and because of the piezoresistivity of the coating. Under knee flexion, a resistance change of over three thousand percent is detected. The carbon nanotube coated knitted fabrics as flexible stretch sensors have wide-ranging applications in human motion analysis.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87048966","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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