2020 IEEE Sensors Applications Symposium (SAS)最新文献_第2页

Model-based Calibration of a Magnetic Induction Spectroscopy System for Absolute Conductivity Measurement 基于模型的绝对电导率测量磁感应光谱系统标定

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220025

M. O’Toole, W. Yin, A. Peyton

引用次数: 1

A Novel Experimental Study to Enhance the Attentional State using EEG Signals 利用脑电图信号增强注意状态的新实验研究

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220056

Jagadish Bandaru, Rajalakshmi Pachumutthu

{"title":"A Novel Experimental Study to Enhance the Attentional State using EEG Signals","authors":"Jagadish Bandaru, Rajalakshmi Pachumutthu","doi":"10.1109/SAS48726.2020.9220056","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220056","url":null,"abstract":"In this paper, we propose a simple low-complex classification framework for the cognitive enhancement with the sustained attention stimuli using Electroencephalography (EEG) signals. The visual stimuli comprise of four face images: two happy (one male and one female) and two unhappy (one male and one female). The neuronal response is decoded using a combination of discrete wavelet transform (DWT) and ensemble classifier. The features are extracted by decomposition of recorded EEG signals using Daubechies wavelet filter (db4) and used the statistical methods such as the absolute mean value, power, and standard deviation for classification. The proposed methodology is validated on in-house recorded visual attention EEG (VA-EEG) dataset using six subjects (three males, three females) and evaluated the performance on six binary combinations of facial stimuli. The performance results show that the binary combination of male happy (MH) and female happy (FH) facial stimuli aids in cognitive enhancement for the people suffering from cognitive symptoms. The proposed low-complex feature extraction classification framework obtained a mean classification accuracy (CA) and a mean kappa value of 86.58% and 0.72, respectively.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130863571","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}

引用次数: 0

Mechanical Requirements for a Smart Inhaler Product 智能吸入器产品的机械要求

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220048

Amelia Beckley, Baden Parr, Sanjay Mathrani, M. Legg, Andrew Drain

{"title":"Mechanical Requirements for a Smart Inhaler Product","authors":"Amelia Beckley, Baden Parr, Sanjay Mathrani, M. Legg, Andrew Drain","doi":"10.1109/SAS48726.2020.9220048","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220048","url":null,"abstract":"Asthma and other respiratory diseases are a significant problem for the New Zealand health sector. There are several factors that make asthma treatment difficult and these have led to the development of smart inhaler devices. However, the devices currently available on the market do not address the core problems with asthma treatment and so a new smart inhaler product is being developed. The smart inhaler product uses an acoustic sensor to detect inhalation flow rate and a haptic motor to provide vibration feedback. To avoid the vibration feedback interfering with the acoustic sensing, vibration damping methods have been employed. Passive damping using viscoelastic material was chosen as it is low-cost and compact. However, results show that these methods are not effective enough to reduce the magnitude of the vibration noise below the magnitude of the inhalation signal using the current acoustic sensor (a microphone). It is possible that effective damping could be achieved using a transducer as the acoustic sensor. However, the transducer must be integrated with the smart inhaler product and likely isolated in some way. Following this, further testing would be required.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114161265","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}

引用次数: 0

A Multi-Jerk Equation Emulator Circuit Exhibiting Various Chaotic Behaviours 具有多种混沌行为的多突方程仿真电路

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220060

Denil V. Robinson, A. C. S.

引用次数: 0

Multi-modality sensor fusion for gait classification using deep learning 基于深度学习的多模态传感器融合步态分类

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220037

S. Yunas, Abdullah S. Alharthi, K. Ozanyan

引用次数: 4

Evaluation of a Bespoke Antarctic Meteorite Detection System in Polar Operating Conditions 极地运行条件下定制南极陨石探测系统的评价

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220085

L. A. Marsh, W. van Verre, John W. Wilson, G. Evatt, A. Peyton

引用次数: 0

Preliminary investigation into low-cost stretch sensors for stomach deformation measurement 用于胃变形测量的低成本拉伸传感器初步研究

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220062

G. Olson, C. Davies, G. S. Gupta, Rose Davies, L. Fullard

{"title":"Preliminary investigation into low-cost stretch sensors for stomach deformation measurement","authors":"G. Olson, C. Davies, G. S. Gupta, Rose Davies, L. Fullard","doi":"10.1109/SAS48726.2020.9220062","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220062","url":null,"abstract":"Physical simulation of gastric tract motility, through the use of controlled flexi-walled reactors, can benefit from measured feedback of the amount of stretch that regions of the deformable membrane wall undergo. Appropriate sensors need to be at least as flexible as the surface they are mounted on, and have the ability to stretch to the same extent. One method for measuring the stretch of highly flexible membrane walls is through the use of conductive ionic fluids encased in a flexible elastomer. A change in resistance can be measured between two terminals of the ionic liquid pathway as the sensor strip undergoes stretch deformation. A simple, low-cost approach to fabricating this form of sensor is to encase a conductive saline solution in a highly flexible silicone tube, with electrodes placed in contact with the fluid at the two ends of the sealed tube. Initial results indicate that this basic approach provides good stability and repeatability of resistance measurement readings during stretching. Further testing of the characteristics of this type of sensor is required to properly assess its capabilities against commercial stretch sensors and state-of-the-art devices.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369664","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}

引用次数: 0

Fabrication of a Pseudo-reference Electrode on a Flexible Substrate and Its Application to Heavy Metal Ion Detection 柔性衬底伪参比电极的制备及其在重金属离子检测中的应用

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220010

Pawan Pathak, Rachel H. T. Li, Woo Hyoung Lee, H. Cho

引用次数: 2

Acoustic Identification of Grape Clusters Occluded by Foliage 葡萄叶遮挡葡萄簇的声学识别

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220078

Baden Parr, Mathew Legg, F. Alam, S. Bradley

{"title":"Acoustic Identification of Grape Clusters Occluded by Foliage","authors":"Baden Parr, Mathew Legg, F. Alam, S. Bradley","doi":"10.1109/SAS48726.2020.9220078","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220078","url":null,"abstract":"The performance of a vineyard can be influenced by accurate yield estimations prior to harvest. Traditionally, this is a manual process. However, due to the high labour costs and subjective nature of manual assessments, researchers have been working on automated techniques. Utilising 2D computer vision has shown promising results but is inherently limited due to occlusions. The algorithms can only count grapes that are directly visible. Often this shortcoming is accounted for by using coarse occlusion ratio estimates, which themselves need to be manually determined. As a result, researchers have begun looking at alternative methods of grape detection. Synthetic Aperture Radar (SAR) has been demonstrated as a feasible approach to see grape clusters behind leaves. However, this comes at a significant financial cost. This paper introduces an alternative approach that utilises low frequency ultrasound to detect grape clusters in the presence of foliage occlusion. We demonstrate that such low frequency signals have the ability to propagate through foliage and reflect off grapes behind. Additionally, by agitating the leaves we can analyse the variance of consecutive samples and determine which volumes are likely to belong to grape clusters.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127333921","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}

引用次数: 2

Modeling IoT Enabled Automotive System for Accident Detection and Classification 建模支持物联网的汽车系统，用于事故检测和分类

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220030

Nikhil Kumar, Anurag Barthwal, Divya Lohani, D. Acharya

引用次数: 9