Pub Date : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278604
A. Chowdhury, I. Khakpour, Borzooye Jafarizadeh, N. Pala, Chunlei Wang
Flexible and wearable electronics are gaining their popularity in healthcare monitoring due to its noninvasive usage. Flexible capacitive pressure sensor can be a good candidate for monitoring physiological stimuli. Here in this study, we discuss a facile cost-effective template-based fabrication of dielectric layer for the capacitive sensor. To ensure complete breathability for wearer comfort, an improved and novel template-based technique was used to fabricate the dielectric layer. Capacitive sensors made by using such dielectric layers show good capacitive response in gentle tactile pressure range.
{"title":"A Facile Fabrication of Porous and Breathable Dielectric Film for Capacitive Pressure Sensor","authors":"A. Chowdhury, I. Khakpour, Borzooye Jafarizadeh, N. Pala, Chunlei Wang","doi":"10.1109/SENSORS47125.2020.9278604","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278604","url":null,"abstract":"Flexible and wearable electronics are gaining their popularity in healthcare monitoring due to its noninvasive usage. Flexible capacitive pressure sensor can be a good candidate for monitoring physiological stimuli. Here in this study, we discuss a facile cost-effective template-based fabrication of dielectric layer for the capacitive sensor. To ensure complete breathability for wearer comfort, an improved and novel template-based technique was used to fabricate the dielectric layer. Capacitive sensors made by using such dielectric layers show good capacitive response in gentle tactile pressure range.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"66 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126115662","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278525
Alexander Kozlov, I. Tarygin
The paper aims to validate a recently developed real-time estimation technique for the temperature time derivative inside a navigation-grade inertial system. According to our experience, sensors that are responsible for measuring the temperature of gyroscopes and accelerometers, often have a sufficiently wide quantization step to make the estimation of time derivative a challenge. When temperature inside an inertial unit changes quite slowly, it may result in constant measurements over several minutes whilst real temperature being non-constant. In this case, measurement errors do not have white noise properties, hence preventing traditional estimation algorithms from being optimal. We propose a parametric model for a short-term temperature approximation and specific estimation algorithm to determine the model parameters. It embodies a numerically stable finite-impulse-response modification of a conventional Kalman filter applied only on temperature sensor updates. This paper provides a brief description of the algorithm and an exhaustive analysis of its performance over a hundred of experiments with different temperature variation patterns.
{"title":"Extensive validation of a real-time time derivative filter for quantized temperature measurements","authors":"Alexander Kozlov, I. Tarygin","doi":"10.1109/SENSORS47125.2020.9278525","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278525","url":null,"abstract":"The paper aims to validate a recently developed real-time estimation technique for the temperature time derivative inside a navigation-grade inertial system. According to our experience, sensors that are responsible for measuring the temperature of gyroscopes and accelerometers, often have a sufficiently wide quantization step to make the estimation of time derivative a challenge. When temperature inside an inertial unit changes quite slowly, it may result in constant measurements over several minutes whilst real temperature being non-constant. In this case, measurement errors do not have white noise properties, hence preventing traditional estimation algorithms from being optimal. We propose a parametric model for a short-term temperature approximation and specific estimation algorithm to determine the model parameters. It embodies a numerically stable finite-impulse-response modification of a conventional Kalman filter applied only on temperature sensor updates. This paper provides a brief description of the algorithm and an exhaustive analysis of its performance over a hundred of experiments with different temperature variation patterns.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126179890","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278881
Sai Kiran Ayyala, Jone-Him Tsang, C. Blackman, J. Covington
Nickel oxide (p-type) sensors are developed to detect volatile organic compounds (VOCs). In the presented work, NiO sensors are fabricated and tested towards acetone, ethanol, toluene, hexane, methanol, and n-propanol vapours between 5 to 25 parts-per-million concentrations, under both dry and humid conditions. NiO films are deposited onto alumina substrates using both spin-coating (SC) and vapour deposition (AACVD) methods. The measured thickness of the spin coated and AACVD NiO films are approximately comparable at 10.3 μm and 6.7 μm, respectively. Both SC and AACVD sensors showed a maximum response at 350°C. No significant influence of humidity was observed on sensor response and baseline resistance for either SC or AACVD sensors. The sensitivity is found to be highest for ethanol, acetone, and methanol vapours than the rest.
{"title":"Comparative study of spin-coated and vapour deposited nickel oxides for detecting VOCs","authors":"Sai Kiran Ayyala, Jone-Him Tsang, C. Blackman, J. Covington","doi":"10.1109/SENSORS47125.2020.9278881","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278881","url":null,"abstract":"Nickel oxide (p-type) sensors are developed to detect volatile organic compounds (VOCs). In the presented work, NiO sensors are fabricated and tested towards acetone, ethanol, toluene, hexane, methanol, and n-propanol vapours between 5 to 25 parts-per-million concentrations, under both dry and humid conditions. NiO films are deposited onto alumina substrates using both spin-coating (SC) and vapour deposition (AACVD) methods. The measured thickness of the spin coated and AACVD NiO films are approximately comparable at 10.3 μm and 6.7 μm, respectively. Both SC and AACVD sensors showed a maximum response at 350°C. No significant influence of humidity was observed on sensor response and baseline resistance for either SC or AACVD sensors. The sensitivity is found to be highest for ethanol, acetone, and methanol vapours than the rest.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124812570","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278914
J. Yasin, S. Mohamed, M. Haghbayan, J. Heikkonen, H. Tenhunen, M. Yasin, J. Plosila
Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are not sufficient for traditional cameras to function properly. Therefore, we exploit the powerful attributes of event-based cameras to perform obstacle detection in low lighting conditions. Event cameras trigger events asynchronously at high output temporal rate with high dynamic range of up to 120 dB. The algorithm filters background activity noise and extracts objects using robust Hough transform technique. The depth of each detected object is computed by triangulating 2D features extracted utilising LC-Harris. Finally, asynchronous adaptive collision avoidance (AACA) algorithm is applied for effective avoidance. Qualitative evaluation is compared using event-camera and traditional camera.
{"title":"Night vision obstacle detection and avoidance based on Bio-Inspired Vision Sensors","authors":"J. Yasin, S. Mohamed, M. Haghbayan, J. Heikkonen, H. Tenhunen, M. Yasin, J. Plosila","doi":"10.1109/SENSORS47125.2020.9278914","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278914","url":null,"abstract":"Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are not sufficient for traditional cameras to function properly. Therefore, we exploit the powerful attributes of event-based cameras to perform obstacle detection in low lighting conditions. Event cameras trigger events asynchronously at high output temporal rate with high dynamic range of up to 120 dB. The algorithm filters background activity noise and extracts objects using robust Hough transform technique. The depth of each detected object is computed by triangulating 2D features extracted utilising LC-Harris. Finally, asynchronous adaptive collision avoidance (AACA) algorithm is applied for effective avoidance. Qualitative evaluation is compared using event-camera and traditional camera.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128735075","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278928
Miguel Heredia Conde, Thomas Kerstein, B. Buxbaum, O. Loffeld
Time-of-Flight (ToF) cameras are active sensors able to capture both the light intensity reflected by each observed point in the scene and the distance between these points and the camera. In this live demonstration we present a ToF camera endowed with a third modality: material. The different surface and subsurface scattering characteristics among materials lead to different time-domain responses that are used to effectively distinguish one material from another.
{"title":"Live Demonstration: a Trimodal Time-of-Flight Camera Featuring Material Sensing","authors":"Miguel Heredia Conde, Thomas Kerstein, B. Buxbaum, O. Loffeld","doi":"10.1109/SENSORS47125.2020.9278928","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278928","url":null,"abstract":"Time-of-Flight (ToF) cameras are active sensors able to capture both the light intensity reflected by each observed point in the scene and the distance between these points and the camera. In this live demonstration we present a ToF camera endowed with a third modality: material. The different surface and subsurface scattering characteristics among materials lead to different time-domain responses that are used to effectively distinguish one material from another.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"204 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127033172","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278903
Samer A. Mabrouk, Zahidee Rodriguez, Subhendu De, K. Maher, Leanne West, Lynn Pogue, Amy Parker, Adith Srivatsava, Arjun Sonti, O. Inan
Intravenous (IV) catheter therapy is prevalent in hospital and clinical settings, delivering necessary fluid, nutrients, or pharmacological treatments to patients. An IV is typically inserted by a trained vascular access team member in a peripheral vein such that the delivered fluid enters the vasculature directly and is distributed through normal cardiovascular mechanisms to desired regions within the body. The inadvertent leakage of fluid outside the vascular space into the surrounding tissue can occur due to movement of the catheter tip out of the vein with patient motion, or from mechanical or chemical damage to the venous wall. This complication is referred to as an IV infiltration or extravasation and is considered a medical emergency as it can result in tissue damage or even necrosis for the patient. Standard of care for detecting an infiltration involves subjective evaluation by nurses or caregivers: specifically, a "look, feel and compare" approach is applied to detect swelling or changes in skin temperature associate with the fluid in the extravascular space. Our team has engineered a wearable, multi-modal sensing system for detecting local physiological changes around the IV catheter insertion site; we monitor electrical bioimpedance spectroscopy (BIS) for quantifying extravascular fluid, skin temperature at two positions around the site, and motion with two inertial measurement units. We have successfully deployed the system at Children’s Healthcare of Atlanta and performed initial feasibility studies in a total of 9 pediatric participants, and have developed algorithms for reducing variability in the BIS measurements associated with motion. While no subject has had an IV infiltration yet, we demonstrated high quality measurements of all parameters in the recordings, and that motion correction of the BIS signals reduced variability when the IV catheter was known to be successfully delivering fluid to the veins. This study sets the foundation for future work where we aim to demonstrate automatic and accurate detection of IV infiltration in pediatric patients with our wearable system and associated algorithms.
{"title":"Multi-Modal Local Physiological Sensing at the Intravenous Catheter Insertion Site : Towards Automated IV Infiltration Detection","authors":"Samer A. Mabrouk, Zahidee Rodriguez, Subhendu De, K. Maher, Leanne West, Lynn Pogue, Amy Parker, Adith Srivatsava, Arjun Sonti, O. Inan","doi":"10.1109/SENSORS47125.2020.9278903","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278903","url":null,"abstract":"Intravenous (IV) catheter therapy is prevalent in hospital and clinical settings, delivering necessary fluid, nutrients, or pharmacological treatments to patients. An IV is typically inserted by a trained vascular access team member in a peripheral vein such that the delivered fluid enters the vasculature directly and is distributed through normal cardiovascular mechanisms to desired regions within the body. The inadvertent leakage of fluid outside the vascular space into the surrounding tissue can occur due to movement of the catheter tip out of the vein with patient motion, or from mechanical or chemical damage to the venous wall. This complication is referred to as an IV infiltration or extravasation and is considered a medical emergency as it can result in tissue damage or even necrosis for the patient. Standard of care for detecting an infiltration involves subjective evaluation by nurses or caregivers: specifically, a \"look, feel and compare\" approach is applied to detect swelling or changes in skin temperature associate with the fluid in the extravascular space. Our team has engineered a wearable, multi-modal sensing system for detecting local physiological changes around the IV catheter insertion site; we monitor electrical bioimpedance spectroscopy (BIS) for quantifying extravascular fluid, skin temperature at two positions around the site, and motion with two inertial measurement units. We have successfully deployed the system at Children’s Healthcare of Atlanta and performed initial feasibility studies in a total of 9 pediatric participants, and have developed algorithms for reducing variability in the BIS measurements associated with motion. While no subject has had an IV infiltration yet, we demonstrated high quality measurements of all parameters in the recordings, and that motion correction of the BIS signals reduced variability when the IV catheter was known to be successfully delivering fluid to the veins. This study sets the foundation for future work where we aim to demonstrate automatic and accurate detection of IV infiltration in pediatric patients with our wearable system and associated algorithms.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127539028","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278944
Daniel Gräbner, W. Lang
Deep rolling is a common machining process, which is used to induce residual stress into the surface area of steel workpieces. However, the formation of the residual stress is merely understood. We present a method to measure subsurface strain in-situ during a deep rolling process. The strain is measured by sensorial inlays, which are integrated into the machined workpiece. The recorded strain data can be used to describe the formation of residual stress in the surface area of the workpiece as well as to verify modelling results of the deep rolling process.
{"title":"In-Situ Sub-Surface Strain Measurement in Deep Rolling Processes","authors":"Daniel Gräbner, W. Lang","doi":"10.1109/SENSORS47125.2020.9278944","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278944","url":null,"abstract":"Deep rolling is a common machining process, which is used to induce residual stress into the surface area of steel workpieces. However, the formation of the residual stress is merely understood. We present a method to measure subsurface strain in-situ during a deep rolling process. The strain is measured by sensorial inlays, which are integrated into the machined workpiece. The recorded strain data can be used to describe the formation of residual stress in the surface area of the workpiece as well as to verify modelling results of the deep rolling process.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122337220","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278720
M. Angerer, M. Zapf, B. Leyrer, N. Ruiter
A semi-automated packaging process for transducer array manufacturing is presented. As an major innovation, a transducer disc is integrated in a sandwich structure between a printed circuit board (PCB) and an acoustic matching layer. Each of the transducer discs contains 18 lead-zirconium-titanate (PZT) fibres embedded in epoxy. To interconnect the transducer array components, adhesive bonding and automatic pick-and-place processes were used. A pre-series was evaluated by measuring the electro-mechanical impedance (EMI) before and after the assembly. Statistical analysis showed consistent behaviour of the series resonance fs and the electro-mechanical coupling keff before and after the packaging. This encouraged the manufacturing of 256 arrays. These arrays will now be integrated in an ultrasound computer tomography (USCT) system with 3D scanning aperture for breast cancer imaging. With this system, we intend to bridge the gap towards clinical use of full 3D USCT.
{"title":"Semi-Automated Packaging of Transducer Arrays for 3D Ultrasound Computer Tomography","authors":"M. Angerer, M. Zapf, B. Leyrer, N. Ruiter","doi":"10.1109/SENSORS47125.2020.9278720","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278720","url":null,"abstract":"A semi-automated packaging process for transducer array manufacturing is presented. As an major innovation, a transducer disc is integrated in a sandwich structure between a printed circuit board (PCB) and an acoustic matching layer. Each of the transducer discs contains 18 lead-zirconium-titanate (PZT) fibres embedded in epoxy. To interconnect the transducer array components, adhesive bonding and automatic pick-and-place processes were used. A pre-series was evaluated by measuring the electro-mechanical impedance (EMI) before and after the assembly. Statistical analysis showed consistent behaviour of the series resonance fs and the electro-mechanical coupling keff before and after the packaging. This encouraged the manufacturing of 256 arrays. These arrays will now be integrated in an ultrasound computer tomography (USCT) system with 3D scanning aperture for breast cancer imaging. With this system, we intend to bridge the gap towards clinical use of full 3D USCT.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122554312","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278885
Steve Mann, Cayden Pierce, Aman Bhargava, Christopher Tong, K. Desai, Kyle O’Shaughnessy
We propose a novel sensemaking taxonomy, and a working wearable computing system within that taxonomy, to help people sense and understand the world around them. This unified system and taxonomy organizes the world of sensors and sensory experience into the following: (A) Self-and-Technology; (B) Self-and-Society; and (C) Self-and-Environment. This wearable system, which we named "Vironment™", embodies a suite of functionalities which demonstrate each of the three presented levels. The taxonomy helps in understanding the line between self, society, and the world around us, while Vironment extends the wearer’s sensing capabilities in these three areas.
{"title":"Sensing of the Self, Society, and the Environment","authors":"Steve Mann, Cayden Pierce, Aman Bhargava, Christopher Tong, K. Desai, Kyle O’Shaughnessy","doi":"10.1109/SENSORS47125.2020.9278885","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278885","url":null,"abstract":"We propose a novel sensemaking taxonomy, and a working wearable computing system within that taxonomy, to help people sense and understand the world around them. This unified system and taxonomy organizes the world of sensors and sensory experience into the following: (A) Self-and-Technology; (B) Self-and-Society; and (C) Self-and-Environment. This wearable system, which we named \"Vironment™\", embodies a suite of functionalities which demonstrate each of the three presented levels. The taxonomy helps in understanding the line between self, society, and the world around us, while Vironment extends the wearer’s sensing capabilities in these three areas.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126056662","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278756
Anastasia Koivikko, Vipul K. Sharma, Vilma Lampinen, Kyriacos Yiannacou, V. Sariola
Capacitive sensors have many applications in tactile sensing, human-machine interfaces, on-body sensors, and patient monitoring. Particularly in biomedical applications, it would be beneficial if the sensor is disposable and readily degradable for efficient recycling. In this study, we report a biodegradable capacitive tactile pressure sensor based on sustainable and bio resourced materials. Silver-nanowire-coated rubber tree leaf skeletons are used as transparent and flexible electrodes while a biodegradable clear tape is used as the dielectric layer. The fabricated sensor is sensitive and can respond to low pressures (7.9 mN when pressed with a probe with a surface area of 79 mm2 / 0.1 kPa) ranging to relatively high pressures (37 kPa), with a sensitivity up to ≈ 4.5×10-3 kPa1. Owing to all bio resourced constituents, the sensor is biodegradable and does not create electronic waste.
{"title":"Biodegradable, Flexible and Transparent Tactile Pressure Sensor Based on Rubber Leaf Skeletons","authors":"Anastasia Koivikko, Vipul K. Sharma, Vilma Lampinen, Kyriacos Yiannacou, V. Sariola","doi":"10.1109/SENSORS47125.2020.9278756","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278756","url":null,"abstract":"Capacitive sensors have many applications in tactile sensing, human-machine interfaces, on-body sensors, and patient monitoring. Particularly in biomedical applications, it would be beneficial if the sensor is disposable and readily degradable for efficient recycling. In this study, we report a biodegradable capacitive tactile pressure sensor based on sustainable and bio resourced materials. Silver-nanowire-coated rubber tree leaf skeletons are used as transparent and flexible electrodes while a biodegradable clear tape is used as the dielectric layer. The fabricated sensor is sensitive and can respond to low pressures (7.9 mN when pressed with a probe with a surface area of 79 mm2 / 0.1 kPa) ranging to relatively high pressures (37 kPa), with a sensitivity up to ≈ 4.5×10-3 kPa1. Owing to all bio resourced constituents, the sensor is biodegradable and does not create electronic waste.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116153350","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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