... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献_第9页

MultiSense: A Highly Reliable Wearable-free Human Fall Detection Systems MultiSense:一种高度可靠的可穿戴式人体跌倒检测系统

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0008957200290040

Avishek Mukherjee, Zhenghao Zhang

{"title":"MultiSense: A Highly Reliable Wearable-free Human Fall Detection Systems","authors":"Avishek Mukherjee, Zhenghao Zhang","doi":"10.5220/0008957200290040","DOIUrl":"https://doi.org/10.5220/0008957200290040","url":null,"abstract":"A reliable fall detection system has tremendous value to the well-being of seniors living alone. We design and implement MultiSense, a novel fall detection system, which has the following desirable features. First, it does not require the human to wear any device, therefore it is convenient to seniors. Second, it has been tested in typical settings including living room and bathroom, and has shown very good accuracy. Third, it is built with inexpensive components, with expected hardware cost around $150 to cover a typical room. Therefore, it has a key advantage over the current commercial fall detection systems which all require the human to wear some device, as well as over academic research prototypes which have various limitations such as lower accuracy. The high accuracy is achieved mainly by combining senses from multiple types of sensors that complement each other, which includes a motion sensor, a heat sensor, and a floor vibration sensor. As the activities that are difficult to classify for some sensors are often not difficult for others, combining the strength of multiple types of sensors brings the performance to a level that can meet the requirements in practice.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"53 1","pages":"29-40"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73334263","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

Classification of Honeybee Infestation by Varroa Destructor using Gas Sensor Array 气体传感器阵列灭蟑器对蜜蜂侵害的分类

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0009171100610068

A. Szczurek, M. Maciejewska, B. Bak, Jakub Wilk, J. Wilde, M. Siuda

{"title":"Classification of Honeybee Infestation by Varroa Destructor using Gas Sensor Array","authors":"A. Szczurek, M. Maciejewska, B. Bak, Jakub Wilk, J. Wilde, M. Siuda","doi":"10.5220/0009171100610068","DOIUrl":"https://doi.org/10.5220/0009171100610068","url":null,"abstract":"Infestation of bee colony with Varroa destructor proceeds exponentially. It is important to detect the disease at its very early stage. However, the distinction of later infestation stages is also practical. We proposed to apply gas sensor array measurements of beehive air as the source of information which may be useful for this kind of assessment. Honeybee infestation was classified into three categories: ‘low’, ‘medium’ and ‘high’, two categories: ‘low’ and ‘medium to high’, and another two categories: ‘high’ and ‘medium to low’. Responses of gas sensor array to beehive air were used as the input data of the classifier, which was trained to distinguish the categories. The results of the analysis demonstrated that category ‘low’ was determined most effectively, with an error rate of about 10%. Category ‘high’ was most difficult to determine. In this case the lowest error rate was about 20%. Based on our analysis, the approach based on binary classification was favoured and SVM outperformed ensemble of classification trees. It was found, that first several minutes of gas sensors exposure to beehive air were sufficient to attain effective classification. The presented method of varroosis determination, based on beehive air sensing with gas sensors is innovative and has high potential of application in beekeeping.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"8 1","pages":"61-68"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90738666","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

Deviation Prediction and Correction on Low-Cost Atmospheric Pressure Sensors using a Machine-Learning Algorithm 基于机器学习算法的低成本大气压力传感器偏差预测与校正

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0008968400410051

T. Araújo, L. Silva, A. Moreira

{"title":"Deviation Prediction and Correction on Low-Cost Atmospheric Pressure Sensors using a Machine-Learning Algorithm","authors":"T. Araújo, L. Silva, A. Moreira","doi":"10.5220/0008968400410051","DOIUrl":"https://doi.org/10.5220/0008968400410051","url":null,"abstract":": Atmospheric pressure sensors are important devices for several applications, including environment monitoring and indoor positioning tracking systems. This paper proposes a method to enhance the quality of data obtained from low-cost atmospheric pressure sensors using a machine learning algorithm to predict the error behaviour. By using the extremely Randomized Trees algorithm, a model was trained with a reference sensor data for temperature and humidity and with all low-cost sensor datasets that were co-located into an artificial climatic chamber that simulated different climatic situations. Fifteen low-cost environmental sensor units, composed by five different models, were considered. They measure – together – temperature, relative humidity and atmospheric pressure. In the evaluation, three categories of output metrics were considered: raw; trained by the independent sensor data; and trained by the low-cost sensor data. The model trained by the reference sensor was able to reduce the Mean Absolute Error (MAE) between atmospheric pressure sensor pairs by up to 67%, while the same ensemble trained with all low-cost data was able to reduce the MAE by up to 98%. These results suggest that low-cost environmental sensors can be a good asset if their data are properly processed.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"82 5 Pt 1 1","pages":"41-51"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77520616","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: 1

Enhancing Vibroarthrography by using Sensor Fusion 利用传感器融合增强关节振动成像

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0009098701290135

Dimitri Kraft, R. Bader, G. Bieber

引用次数: 0

A Robust Serial FBG Sensor Network with CDM Interrogation Allowing Overlapping Spectra 允许重叠光谱的具有CDM询问的鲁棒串行FBG传感器网络

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0008942900230028

M. Götten, S. Lochmann, A. Ahrens, C. Benavente-Peces

{"title":"A Robust Serial FBG Sensor Network with CDM Interrogation Allowing Overlapping Spectra","authors":"M. Götten, S. Lochmann, A. Ahrens, C. Benavente-Peces","doi":"10.5220/0008942900230028","DOIUrl":"https://doi.org/10.5220/0008942900230028","url":null,"abstract":"Massive optical sensor networks gained a lot of attention in recent years. They offer new advances in the fields of smart structures and health monitoring. All serial optic al sensor networks rely on multiplexing techniques that provide huge amounts of sensors in a single optical fiber . Wavelength-division multiplex (WDM) which has been established in many applications, is restricted to the spectral width of the used light source that needs to be shared by several non-overlapping fiber-Bragg-g ratin (FBG) spectra. Time-division multiplex (TDM) uses short impulses and relies on different sensor rou nd trip delays to distinguish each single FBG. These short impulses and long round trip times lead to a low si gnal-to-noise ratio (SNR). Optical frequencydomain reflectometry (OFDR) offers a high spatial resolutio n of FBGs but only within a short fiber length. This contribution deals with a code-division multiplex (CD M) interrogation technique that provides numerous sensors in a single optical fiber, a better SNR, and a long rang e of distributed sensing points. It requires codes with good autocorrelation behavior which is characte ized by certain criteria. The detectable criteria are limited which narrows significantly a search for best pos sible codes for the interrogation system. In this contribution, practical implementation limits such as the rigger timing and the achievable SNR are studied. Based on the introduced SNR definitions for CDM and WDM system , a direct comparison is possible and it shows the superiority of the proposed CDM scheme. A networ k with 25 sensors operating at the same wavelength can provide a 2 .67 dB improvement compared to WDM","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"49 1","pages":"23-28"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80122022","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

Analysing Usage of Harvested Energy in Wireless Sensor Networks: A Geo/Geo/1/K Approach 无线传感器网络中收集能量的利用分析:Geo/Geo/1/K方法

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0008869500710077

O. P. Angwech, A. Alfa, B. T. Maharaj

引用次数: 1

SALATA: A Web Application for Visualizing Sensor Information in Farm Fields SALATA:用于可视化农田传感器信息的Web应用程序

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0008987501130120

Nao Akayama, Daisaku Arita, Atsushi Shimada, R. Taniguchi

{"title":"SALATA: A Web Application for Visualizing Sensor Information in Farm Fields","authors":"Nao Akayama, Daisaku Arita, Atsushi Shimada, R. Taniguchi","doi":"10.5220/0008987501130120","DOIUrl":"https://doi.org/10.5220/0008987501130120","url":null,"abstract":": Semi-automated sensing and visualization of conditions and activities in farm ﬁelds have been actively pursued in recent years. There are three types of agricultural information: sensor information, farm work information, and plant biological information. Measuring and visualizing these agricultural information can provide valuable support to farm managers. In this study, we focus on sensor information and farm work information and develop a web application named SALATA (Sharing and AccumuLating Agricultural TAcit knowledge) that collects and shares sensor information and farm work information collected in farm ﬁelds and correlates the information in time series. SALATA need to have intuitive operation and quick response in order that people of various ages will use it on a daily basis. Therefore, there are two primary pages: the main page for visualizing simple information quickly and the analytical page for visualizing multiple pieces of information on one page. Usability evaluation experiments are performed, showing that SALATA can be operated intuitively and respond quickly.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"217 1","pages":"113-120"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77327537","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

Detecting Tunnels for Border Security based on Fiber Optical Distributed Acoustic Sensor Data using DBSCAN 基于DBSCAN光纤分布式声传感器数据的边境安全隧道探测

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0008869600780084

Suleyman Alpay Aslangul

引用次数: 2

A Wireless Sensor Network based on Laser-annealed ZnO Nanostructures for Advance Monitoring in Precise Agriculture 基于激光退火ZnO纳米结构的无线传感器网络用于精准农业的提前监测

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0009368201770181

D. Polese, F. Maita, I. Lucarini, A. Ferraro, A. Luca, D. Cannatà, L. Maiolo

{"title":"A Wireless Sensor Network based on Laser-annealed ZnO Nanostructures for Advance Monitoring in Precise Agriculture","authors":"D. Polese, F. Maita, I. Lucarini, A. Ferraro, A. Luca, D. Cannatà, L. Maiolo","doi":"10.5220/0009368201770181","DOIUrl":"https://doi.org/10.5220/0009368201770181","url":null,"abstract":"Plants own a complex way to communicate with each other based on the exchange of chemical and electrical signals. Indeed, plants are capable of creating extensive communication networks thus warning each other of the presence of pests. In response, plants trigger natural strategy against the infestation. The main tool used by plants for exchanging information is the emission and detection of specific volatile organic compounds in air. To this end, monitoring these compounds can be crucial to reveal the state of health of a cultivation far before visual symptoms arise. In this work, we present a wireless sensor network where each node is based on highly sensitive zinc oxide nanostructures enabling the detection and the discrimination of several chemical gases such as CO, CO2, NO, NO2, CH4, etc. The response of each sensor is tuned by using excimer laser annealing procedure, a technique that changes the electrical and morphological properties of the sensing material. This wireless sensor network can be an appealing solution to capture signals coming from the plants without the usage of bulky and expensive equipment.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"8 1","pages":"177-181"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73523707","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

Building an Open Source Access Control System for Fablabs based on odoo and openHAB 基于odoo和openHAB的实验室开放源代码访问控制系统的构建

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2020-01-01 DOI: 10.5220/0008911900850092

Fabian Meyer, Michael Schäfer

引用次数: 0