Pub Date : 2018-10-01DOI: 10.1109/ICSENS.2018.8589567
Wei Wang, Aydin Sadeqi, S. Sonkusale
There is a need to secure packages that can provide non-contact detection of package tampering using an approach that is simple and low cost. We expect this solution to provide an all-around tamper detection along all sides and edges of a package which is lacking in current solutions. In this paper, we propose novel radio-frequency identification (RFID) threads, which can be wrapped around an entire package covering all sides and edges. In RFID threads, long flexible silver conductive threads serve as feed lines from the RFID chip to the dipole antenna. Opening of the package leads to breaking of the feed lines, which shuts off the radiation from the antenna and results in loss of signal at an RFID reader thus providing wireless tamper detection. This paper presents fabrication of such RFID threads and validation of 100% tamper detection of several packages.
{"title":"All-Around Package Security Using Radio Frequency Identification Threads","authors":"Wei Wang, Aydin Sadeqi, S. Sonkusale","doi":"10.1109/ICSENS.2018.8589567","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589567","url":null,"abstract":"There is a need to secure packages that can provide non-contact detection of package tampering using an approach that is simple and low cost. We expect this solution to provide an all-around tamper detection along all sides and edges of a package which is lacking in current solutions. In this paper, we propose novel radio-frequency identification (RFID) threads, which can be wrapped around an entire package covering all sides and edges. In RFID threads, long flexible silver conductive threads serve as feed lines from the RFID chip to the dipole antenna. Opening of the package leads to breaking of the feed lines, which shuts off the radiation from the antenna and results in loss of signal at an RFID reader thus providing wireless tamper detection. This paper presents fabrication of such RFID threads and validation of 100% tamper detection of several packages.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"326 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":"134100087","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.2018.8589758
Sydni Adams, Nefertari Parks, Cameron Lewis, K. Wallace, S. Ramesh, F. Alnaimat, B. Mathew
This study presents the mathematical model of a dielectrophoretic microfluidic flow separator with interdigitated transducer electrodes. The model considers the forces associated with inertia, drag, gravity, buoyancy, and dielectrophoresis. The device's efficacy in separating a binary mixture, of silica and polystyrene microparticles, into homogeneous silica and polystyrene samples is demonstrated. The model analyzes the influence of volumetric flowrate and applied electric potential on separation efficiency and purity.
{"title":"Modeling Dielectrophoresis Based Flow Separator","authors":"Sydni Adams, Nefertari Parks, Cameron Lewis, K. Wallace, S. Ramesh, F. Alnaimat, B. Mathew","doi":"10.1109/ICSENS.2018.8589758","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589758","url":null,"abstract":"This study presents the mathematical model of a dielectrophoretic microfluidic flow separator with interdigitated transducer electrodes. The model considers the forces associated with inertia, drag, gravity, buoyancy, and dielectrophoresis. The device's efficacy in separating a binary mixture, of silica and polystyrene microparticles, into homogeneous silica and polystyrene samples is demonstrated. The model analyzes the influence of volumetric flowrate and applied electric potential on separation efficiency and purity.","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":"131477784","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}
In the IEEE 802.15.4 standard, the role of a cluster-head is primarily to aggregate data from other devices in the cluster and transmit the aggregated data towards the PAN coordinator. However, the cluster-heads quickly depletes its energy compared to the ordinary devices as they remain active for longer duration for transmission and aggregation of data. In order to reduce the imbalance of power consumption between the cluster-head and the cluster member devices, the role of cluster-head needs to rotated among the available devices. Previous works in this direction, have considered single hop communication networks and majority are based on the threshold derived from the residual energy of the present cluster-head. In this paper, we propose an efficient cluster-head rotation algorithm that considers coverage, residual energy, inter-cluster distance and transmission overhead during CH selection for IEEE 802.15.4 networks.
{"title":"Cluster-Head Rotation Scheme for Beacon-Enabled IEEE 802.15.4 Networks","authors":"Nikumani Choudhury, Kundrapu Dilip Kumar, Rakesh Matam","doi":"10.1109/ICSENS.2018.8589507","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589507","url":null,"abstract":"In the IEEE 802.15.4 standard, the role of a cluster-head is primarily to aggregate data from other devices in the cluster and transmit the aggregated data towards the PAN coordinator. However, the cluster-heads quickly depletes its energy compared to the ordinary devices as they remain active for longer duration for transmission and aggregation of data. In order to reduce the imbalance of power consumption between the cluster-head and the cluster member devices, the role of cluster-head needs to rotated among the available devices. Previous works in this direction, have considered single hop communication networks and majority are based on the threshold derived from the residual energy of the present cluster-head. In this paper, we propose an efficient cluster-head rotation algorithm that considers coverage, residual energy, inter-cluster distance and transmission overhead during CH selection for IEEE 802.15.4 networks.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"29 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":"130697587","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.2018.8630287
Nagahiro Fujiwara, Kohei Shimasaki, Mingjun Jiang, T. Takaki, I. Ishii
This study proposes a concept of vision-based vibration source localization that can extract objects vibrating at hundreds of Hz with pixel-level accuracy using images captured at an undersampled frame rate that is much lower than the vibration frequency. We discuss how to determine the minimum frame rate of undersampled images so that different vibration frequencies, including DC background components, are separable when the vibration frequencies are larger than the Nyquist frame rate of the images. By executing short-time Fourier transforms for brightness signals at all pixels, we demonstrate the performance of vibration source localization using undersampled images when observing flying multicopters with propellers rotating at hundreds of Hz.
{"title":"Pixel-Level Vibration Source Detection Using Undersampled Video Sequences","authors":"Nagahiro Fujiwara, Kohei Shimasaki, Mingjun Jiang, T. Takaki, I. Ishii","doi":"10.1109/ICSENS.2018.8630287","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8630287","url":null,"abstract":"This study proposes a concept of vision-based vibration source localization that can extract objects vibrating at hundreds of Hz with pixel-level accuracy using images captured at an undersampled frame rate that is much lower than the vibration frequency. We discuss how to determine the minimum frame rate of undersampled images so that different vibration frequencies, including DC background components, are separable when the vibration frequencies are larger than the Nyquist frame rate of the images. By executing short-time Fourier transforms for brightness signals at all pixels, we demonstrate the performance of vibration source localization using undersampled images when observing flying multicopters with propellers rotating at hundreds of Hz.","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":"130896199","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.2018.8630304
V. S. Nagaraja, K. J. Rudresha, S. Pinjare
A Directional Microphone is a special type of acoustic sensor which has the capability of sensing the direction of acoustic pressure. In this paper a capacitive sensing Directional MEMS Microphone is presented. The design of the Directional MEMS Microphone is inspired by the parasitoid Ormia Ochracea. The capacitive sensing is achieved by using comb drives on either side of the microphone membrane. The Directional Microphone has been fabricated using SOIMUMPs process. The characterized results have been verified analytically and simulated using COMSOL Multiphysics and Coventorware. The measured frequencies of Rocking and Bending modes were found to be around 3.4 kHz and 7.9 kHz respectively which matches with the simulated results. The base capacitance on either side of the interdigital fingers was found to be 1.5pF. The sensitivity of the microphone was estimated to 0.7pF/ Pa. The novelty of the design lies in the fact that the microphone structure has been modified by splitting the middleA beams and improving the sensitivity by the spring action, thereby increasing the sensitivity from 0.lpF/ Pa as reported earlier to 0.7pF/ Pa. The device has also been tested with the readout circuitry based on MS3110. A voltage sensitivity of 0.04mV/Pa was obtained.
{"title":"Design, Fabrication and Characterization of a Biologically Inspired MEMS Directional Microphone","authors":"V. S. Nagaraja, K. J. Rudresha, S. Pinjare","doi":"10.1109/ICSENS.2018.8630304","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8630304","url":null,"abstract":"A Directional Microphone is a special type of acoustic sensor which has the capability of sensing the direction of acoustic pressure. In this paper a capacitive sensing Directional MEMS Microphone is presented. The design of the Directional MEMS Microphone is inspired by the parasitoid Ormia Ochracea. The capacitive sensing is achieved by using comb drives on either side of the microphone membrane. The Directional Microphone has been fabricated using SOIMUMPs process. The characterized results have been verified analytically and simulated using COMSOL Multiphysics and Coventorware. The measured frequencies of Rocking and Bending modes were found to be around 3.4 kHz and 7.9 kHz respectively which matches with the simulated results. The base capacitance on either side of the interdigital fingers was found to be 1.5pF. The sensitivity of the microphone was estimated to 0.7pF/ Pa. The novelty of the design lies in the fact that the microphone structure has been modified by splitting the middleA beams and improving the sensitivity by the spring action, thereby increasing the sensitivity from 0.lpF/ Pa as reported earlier to 0.7pF/ Pa. The device has also been tested with the readout circuitry based on MS3110. A voltage sensitivity of 0.04mV/Pa was obtained.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"1 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":"131261291","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.2018.8589540
Bodhibrata Mukhopadhyay, Osheen Sharma, Subrat Kar
Monitoring of respiratory signal is essential to diagnose health problems. However, the procedure involved is too intrusive and causes discomfort to the patients. This paper elaborates the development of an IoT based wearable sensor to monitor the real-time respiratory signal. A textile based pressure fabric is attached to a belt converting the thoracic/stomach movement into electrical signal. The electrical signal is transmitted to a central base station where it is displayed in real time and is finally uploaded to an online repository for future analysis. Respiratory signals were studied as individuals performed activities like walking and talking.
{"title":"IoT Based Wearable Knitted Fabric Respiratory Monitoring System","authors":"Bodhibrata Mukhopadhyay, Osheen Sharma, Subrat Kar","doi":"10.1109/ICSENS.2018.8589540","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589540","url":null,"abstract":"Monitoring of respiratory signal is essential to diagnose health problems. However, the procedure involved is too intrusive and causes discomfort to the patients. This paper elaborates the development of an IoT based wearable sensor to monitor the real-time respiratory signal. A textile based pressure fabric is attached to a belt converting the thoracic/stomach movement into electrical signal. The electrical signal is transmitted to a central base station where it is displayed in real time and is finally uploaded to an online repository for future analysis. Respiratory signals were studied as individuals performed activities like walking and talking.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"1 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":"133542749","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.2018.8589560
Priyank Hirani, Srinivas Balivada, Ritambhara Chauhan, G. Shaikh, L. Murthy, Ashu Balhara, Ramesh Chandra Ponduru, H. Sharma, Srinivas Chary, G. Subramanyam, S. Randhawa, Tanima Dutta, Hari Prabhat Gupta, Aniban Gupta, A. Haldar, A. Sarkar, I. Khan, Supratik Guha
The world faces a grave water risk that affects all aspects of human life and ecology with implications for food security, energy production, industrial activity and human health. India is particularly affected as it has 16% of the world's population but access to less than 4% of global freshwater resources. In this study, we use mobile (moving) sensors to spatially and temporally map river water quality based on in-situ data gathered in some of India's major rivers. Data visualizations generated are intended to pinpoint sources of pollution, ensure regulatory compliance and examine health of the water body. We show that such cyber physical sensing techniques can be a powerful and more practical (or cost-effective) way to dynamically monitor, predict and regulate the quality of large bodies of water.
{"title":"Using Cyber Physical Systems to Map Water Quality Over Large Water Bodies","authors":"Priyank Hirani, Srinivas Balivada, Ritambhara Chauhan, G. Shaikh, L. Murthy, Ashu Balhara, Ramesh Chandra Ponduru, H. Sharma, Srinivas Chary, G. Subramanyam, S. Randhawa, Tanima Dutta, Hari Prabhat Gupta, Aniban Gupta, A. Haldar, A. Sarkar, I. Khan, Supratik Guha","doi":"10.1109/ICSENS.2018.8589560","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589560","url":null,"abstract":"The world faces a grave water risk that affects all aspects of human life and ecology with implications for food security, energy production, industrial activity and human health. India is particularly affected as it has 16% of the world's population but access to less than 4% of global freshwater resources. In this study, we use mobile (moving) sensors to spatially and temporally map river water quality based on in-situ data gathered in some of India's major rivers. Data visualizations generated are intended to pinpoint sources of pollution, ensure regulatory compliance and examine health of the water body. We show that such cyber physical sensing techniques can be a powerful and more practical (or cost-effective) way to dynamically monitor, predict and regulate the quality of large bodies of water.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"1061 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133588419","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.2018.8589652
Yi-Cheng Wu, Yung-Hua Kao, P. Chao, Chinder Wey, T. Sauter, Fitrah P. Eka, R. Pandey
This study presents an organic light-emitting diode (OLED) drive circuit and an organic photo detector (OPD) readout circuits for a vibration sensor. Vibration sensor consist of micro-electro-mechanical systems (MEMS), which are OLED and OPD needs to be integrated for many applications in automation or consumer electronics. The light flux is generated by an OLED located on top of the structure and the modulated light flux is measured by an OPD. The OLED drive circuit contains pulse width modulation (PWM) driver to control PWM output for optimization of voltage operation is designed in order to minimize power consumption efficiency of device. The readout circuit includes a trans-impedance amplifier (TIA) to convert incident light of OPD to voltage output, a 14-bit analog-to-digital converter (ADC) to extract amplitude of vibration level, circuit to generate clock for time-to-digital converter (TDC) which detect frequency of vibration sensor. The designed circuit has been successfully fabricated by using TSMC 0.18 μm CMOS process, the chip area is 1.012 mm2. The power consumption of chip is about 6.2 mW. The measured frequency of PWM is about 200 kHz with 50% duty cycle. The frequency range of the vibration can be sensed well as about 10 Hz~1.5 kHz, and resulting in high SNR at frequencies under 60 Hz.
{"title":"Design and Implementation of OLED Driving and OPD Readout Circuitry for an Optical Vibration Sensor","authors":"Yi-Cheng Wu, Yung-Hua Kao, P. Chao, Chinder Wey, T. Sauter, Fitrah P. Eka, R. Pandey","doi":"10.1109/ICSENS.2018.8589652","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589652","url":null,"abstract":"This study presents an organic light-emitting diode (OLED) drive circuit and an organic photo detector (OPD) readout circuits for a vibration sensor. Vibration sensor consist of micro-electro-mechanical systems (MEMS), which are OLED and OPD needs to be integrated for many applications in automation or consumer electronics. The light flux is generated by an OLED located on top of the structure and the modulated light flux is measured by an OPD. The OLED drive circuit contains pulse width modulation (PWM) driver to control PWM output for optimization of voltage operation is designed in order to minimize power consumption efficiency of device. The readout circuit includes a trans-impedance amplifier (TIA) to convert incident light of OPD to voltage output, a 14-bit analog-to-digital converter (ADC) to extract amplitude of vibration level, circuit to generate clock for time-to-digital converter (TDC) which detect frequency of vibration sensor. The designed circuit has been successfully fabricated by using TSMC 0.18 μm CMOS process, the chip area is 1.012 mm2. The power consumption of chip is about 6.2 mW. The measured frequency of PWM is about 200 kHz with 50% duty cycle. The frequency range of the vibration can be sensed well as about 10 Hz~1.5 kHz, and resulting in high SNR at frequencies under 60 Hz.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"14 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":"133602943","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}
Novelty-A novel high performance two-axis piezoresistive accelerometer is developed with high sensitivity and high resonant frequency. The accelerometer with pure axially deformed sensitive micro beams has been designed. The biggest advantage of the sensor structure is that the motion of the sensitive beam always satisfies the direct - stretch - compress condition, that can greatly improve the sensor performance. Meanwhile, the sensitive element separated from the support element, which greatly weakening the direct coupling between the resonant frequency and sensitivity. Then we carry out the finite element method (FEM) simulation, according to the simulation results the sensor structure parameters were optimized and it proved that the stress on the sensitive beam is pure axial stress. The theoretical sensitivity of the sensor with the range of 0-100g is more than 0.9mV/g/3V, and its theoretical resonant frequency is 25kHz. Compared with the sensor performance of existing literatures, the accelerometer has excellent performance.
{"title":"A Two-Axis MEMS Piezoresistive In-Plane Accelerometer with Pure Axially Deformed Microbeams","authors":"Mingzhi Yu, Libo Zhao, Weile Jiang, Chen Jia, Zhikang Li, Yulong Zhao, Zhuangde Jiang","doi":"10.1109/ICSENS.2018.8589746","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589746","url":null,"abstract":"Novelty-A novel high performance two-axis piezoresistive accelerometer is developed with high sensitivity and high resonant frequency. The accelerometer with pure axially deformed sensitive micro beams has been designed. The biggest advantage of the sensor structure is that the motion of the sensitive beam always satisfies the direct - stretch - compress condition, that can greatly improve the sensor performance. Meanwhile, the sensitive element separated from the support element, which greatly weakening the direct coupling between the resonant frequency and sensitivity. Then we carry out the finite element method (FEM) simulation, according to the simulation results the sensor structure parameters were optimized and it proved that the stress on the sensitive beam is pure axial stress. The theoretical sensitivity of the sensor with the range of 0-100g is more than 0.9mV/g/3V, and its theoretical resonant frequency is 25kHz. Compared with the sensor performance of existing literatures, the accelerometer has excellent performance.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"61 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":"132291293","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.2018.8589803
S. Lai, Antonio Garufi, Francesca Madeddu, G. Angius, A. Bonfiglio, P. Cosseddu
A sensorized glove using low voltage Organic Field-Effect Transistors (OFETs) as strain sensors for evaluating finger and wrist movements is reported. A complete characterization of strain sensors is reported. Thanks to the properties of organic electronics in terms of lightness-in-weight, the platform represents a valuable system for non-invasive evaluation of hand motion in real time, thus being effective for different applications such as occupational health and rehabilitation medicine.
{"title":"An Organic Transistor-Sensorized Glove for Noninvasive Monitoring of Hand Movements for Healthcare Applications","authors":"S. Lai, Antonio Garufi, Francesca Madeddu, G. Angius, A. Bonfiglio, P. Cosseddu","doi":"10.1109/ICSENS.2018.8589803","DOIUrl":"https://doi.org/10.1109/ICSENS.2018.8589803","url":null,"abstract":"A sensorized glove using low voltage Organic Field-Effect Transistors (OFETs) as strain sensors for evaluating finger and wrist movements is reported. A complete characterization of strain sensors is reported. Thanks to the properties of organic electronics in terms of lightness-in-weight, the platform represents a valuable system for non-invasive evaluation of hand motion in real time, thus being effective for different applications such as occupational health and rehabilitation medicine.","PeriodicalId":405874,"journal":{"name":"2018 IEEE SENSORS","volume":"41 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":"127805721","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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