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A novel method of identifying motor primitives using wavelet decomposition. 基于小波分解的电机基元识别新方法。
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-03-01 Epub Date: 2018-04-05 DOI: 10.1109/BSN.2018.8329674
Anton Popov, Erienne V Olesh, Sergiy Yakovenko, Valeriya Gritsenko
{"title":"A novel method of identifying motor primitives using wavelet decomposition.","authors":"Anton Popov,&nbsp;Erienne V Olesh,&nbsp;Sergiy Yakovenko,&nbsp;Valeriya Gritsenko","doi":"10.1109/BSN.2018.8329674","DOIUrl":"https://doi.org/10.1109/BSN.2018.8329674","url":null,"abstract":"<p><p>This study reports a new technique for extracting muscle synergies using continuous wavelet transform. The method allows to quantify coincident activation of muscle groups caused by the physiological processes of fixed duration, thus enabling the extraction of wavelet modules of arbitrary groups of muscles. Hierarchical clustering and identification of the repeating wavelet modules across subjects and across movements, was used to identify consistent muscle synergies. Results indicate that the most frequently repeated wavelet modules comprised combinations of two muscles that are not traditional agonists and span different joints. We have also found that these wavelet modules were flexibly combined across different movement directions in a pattern resembling directional tuning. This method is extendable to multiple frequency domains and signal modalities.</p>","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BSN.2018.8329674","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36094693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Keynote speakers: "Transformative power of precision medicine - moving from data to diagnosis" 主题演讲嘉宾:“精准医疗的变革力量——从数据到诊断”
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-03-01 DOI: 10.1109/BSN.2018.8329642
Rick A. Cnossen
{"title":"Keynote speakers: \"Transformative power of precision medicine - moving from data to diagnosis\"","authors":"Rick A. Cnossen","doi":"10.1109/BSN.2018.8329642","DOIUrl":"https://doi.org/10.1109/BSN.2018.8329642","url":null,"abstract":"Personalized medicine powered by data-driven insights is a monumental shift that delivers better prevention, diagnosis, and treatment at a fraction of the time and cost. We will look at some of the global disruptions that are driving the need for change and the technologies that are emerging to propel the market forward. This represents a significant opportunity for EMBS to partner with HIMSS to help steer the innovations, establish standards, and help drive this transformation.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BSN.2018.8329642","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48564497","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
Energy-aware Scheme for Animal Recognition in Wireless Acoustic Sensor Networks 无线声传感器网络中动物识别的能量感知方案
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006604100310038
Afnan Algobail, A. Soudani, Saad A. Al-Ahmadi
{"title":"Energy-aware Scheme for Animal Recognition in Wireless Acoustic Sensor Networks","authors":"Afnan Algobail, A. Soudani, Saad A. Al-Ahmadi","doi":"10.5220/0006604100310038","DOIUrl":"https://doi.org/10.5220/0006604100310038","url":null,"abstract":"Wireless Acoustic Sensor Networks (WASN) have drawn tremendous attention due to their promising potential audio-rich applications such as battlefield surveillance, environment monitoring, and ambient intelligence. In this context, designing an approach for target recognition using sensed audio data represents a very attractive solution that offers a wide range of deployment opportunities. However, this approach faces the limited resource’s availability in the wireless sensor. The power consumption is considered to be the major concern for large data transmission and extensive processing. Thus, the design of successful audio based solution for target recognition should consider a trade-off between application efficiency and sensor capabilities. The main contribution of this paper is to design a low-power scheme for target detection and recognition based on acoustic signal. This scheme, using features extraction, is intended to locally detect a specific target and to notify a remote server with low energy consumption. This paper details the specification of the proposed scheme and explores its performances for low-power target recognition. The results showed the hypothesis' validity, and demonstrate that the proposed approach can produce classifications as accurate as 96.88% at a very low computational cost.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72565776","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: 5
Design of Wireless Sensor Network in the Railway 铁路无线传感器网络的设计
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006638101220127
Nagateru Iwasawa, T. Kawamura, Michiko Nozue, S. Ryuo, Nariya Iwaki
{"title":"Design of Wireless Sensor Network in the Railway","authors":"Nagateru Iwasawa, T. Kawamura, Michiko Nozue, S. Ryuo, Nariya Iwaki","doi":"10.5220/0006638101220127","DOIUrl":"https://doi.org/10.5220/0006638101220127","url":null,"abstract":"In recent years, research and development on the condition monitoring systems using the wireless sensor network in the railway have been proceeded. However, there are few cases of the wireless sensor network design based on the features of the railway environment. In this paper, we propose the procedure to design the wireless sensor network in the railway. And we introduce the demonstration test and the result in the railway slope based on this procedure.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81417908","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: 4
Comparison of Camera based and Inertial Measurement Unit based Motion Analysis 基于摄像机和惯性测量单元的运动分析比较
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006716601610167
S. Jang, Si-Bog Park, Sang-bog Moon, Jae Min Kim, Shi-uk Lee
{"title":"Comparison of Camera based and Inertial Measurement Unit based Motion Analysis","authors":"S. Jang, Si-Bog Park, Sang-bog Moon, Jae Min Kim, Shi-uk Lee","doi":"10.5220/0006716601610167","DOIUrl":"https://doi.org/10.5220/0006716601610167","url":null,"abstract":": Camera-based 3D motion analyzers are widely used to analyze body movements and gait, but they are expensive and require a large dedicated space. This study investigated whether inertial measurement unit (IMU)-based systems can replace such systems by analyzing kinematic measurement parameters. IMUs were attached to the abdomen and thigh and the shank and foot of both legs. The participant completed a 10 m-gait course 10 times and the hips, knees, and ankle joints were observed from the sagittal, frontal, and transverse planes during each gait cycle. The experiments were conducted with both a camera-based system and an IMU-based system. The measured gait analysis data were evaluated for validity and reliability using RMSE. In this regard, the differences between the RMSE values of the two systems determined through kinematic parameters ranged from a minimum of 1.39 to a maximum of 3.86. These results confirm that IMU-based systems can reliably replace camera-based systems for clinical body motion analysis and gait analysis.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78877762","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
Hydrodynamic Adaptive Routing Algorithm for Unstable Sensor Networks with a Tsunami Model of Acute Events 海啸模型下不稳定传感器网络的流体动力自适应路由算法
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006655901410146
E. Aleksandrova, V. Bashkin
{"title":"Hydrodynamic Adaptive Routing Algorithm for Unstable Sensor Networks with a Tsunami Model of Acute Events","authors":"E. Aleksandrova, V. Bashkin","doi":"10.5220/0006655901410146","DOIUrl":"https://doi.org/10.5220/0006655901410146","url":null,"abstract":"An algorithm of adaptive multi-path routing in unstable sensor networks with frequent reconfigurations is presented. The model is based on the discrete imitation of water streams and water waves in the network of river-connected reservoirs. The hydrodynamic phenomena of water currents, riverbed erosion and sediments deposition are used as convenient models of different algorithmic features of the routing scheme. Acute network events (topology changes, node failures, gateway migrations etc) are treated by imitating of such natural phenomena as underwater seismic activities and surface tsunami waves.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73311381","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: 4
A Model-based Approach for Self-healing IoT Systems - Position Paper 一种基于模型的自修复物联网系统方法-立场文件
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006639401350140
Franziska Kühn, H. Hellbrück, S. Fischer
{"title":"A Model-based Approach for Self-healing IoT Systems - Position Paper","authors":"Franziska Kühn, H. Hellbrück, S. Fischer","doi":"10.5220/0006639401350140","DOIUrl":"https://doi.org/10.5220/0006639401350140","url":null,"abstract":"IoT systems become more and more important in our daily life. They will perform monitoring and control tasks which are often safety-critical. Therefore, it is obviously important that IoT systems work reliably, i.e., fulfill their specification. Even if something unexpected happens, it is required that the system moves back into a correct state which we name self-healing. In this paper, we present our idea for a model-based approach for self-healing IoT systems. Based on a formal specification of the system’s properties, we derive monitors which observe the system behavior and trigger healing actions when necessary. In IoT systems, the placement of such systems becomes important due to the increased unreliability of single devices. The paper outlines basic ideas where to place monitors and how to assign monitoring tasks to IoT devices.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88379800","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: 3
Sensornet Early-warning System Integration 传感器预警系统集成
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006533100770084
S. Nanni, G. Mazzini
{"title":"Sensornet Early-warning System Integration","authors":"S. Nanni, G. Mazzini","doi":"10.5220/0006533100770084","DOIUrl":"https://doi.org/10.5220/0006533100770084","url":null,"abstract":": In order to increase the resilience of the regional territory to extreme rainfall phenomena, LepidaSpA has enhanced an already existing IOT platform, Sensornet, created to manage heterogeneous sensor networks extended all over the entire territory of the Emilia-Romagna Region, introducing some new data not related to physical measures, such as rivers level or amount of rainfall, but to their forecast. The novelty and the strategic importance of the project presented in this paper is the incremental integration within Sensornet platform of virtual sensors, based on hydrological simulation models and meteorological modelling, sharing the same data model initially defined for physical ones, thus making available not only the continuous monitoring of phenomena and their evolution, but also the generation of early warning in case of critical thresholds with a forecast up to 12/24 hours. The capability to detect forerunners constitutes a fundamental requirement to increase the ability to recognize in advance critical scenarios and to support their management.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80081007","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
Area Coverage Optimization in Wireless Sensor Network by Semi-random Deployment 基于半随机部署的无线传感器网络区域覆盖优化
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006581900850090
Adda Boualem, Y. Dahmani, A. Maatoug, Cyril de Runz
{"title":"Area Coverage Optimization in Wireless Sensor Network by Semi-random Deployment","authors":"Adda Boualem, Y. Dahmani, A. Maatoug, Cyril de Runz","doi":"10.5220/0006581900850090","DOIUrl":"https://doi.org/10.5220/0006581900850090","url":null,"abstract":"Area Coverage is a difficult problem to solve with a minimum number of sensor nodes for maximum time duration, especially in wide areas. Among the solutions proposed for this problem there is the deployment with its two types random and deterministic. The disadvantages of deterministic deployment are configured in the Area of Interest (AoI) limitation, and random deployment is configured in the non-equitable distribution of sensor nodes on AoI. This problem affects power consumption and connectivity; as a result, it affects the coverage of the area of interest. In this paper we have proposed a third type of hybrid deployment that gathers the advantages and minimizes the disadvantage of the application of the random deployment and deterministic deployment. This type has two steps; the anticipate configuration step and the scheduling process step. A comparative study was done to show the effectiveness of this type to optimize coverage in the vast area of interest less danger and more interests.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74732046","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: 16
Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems 目标识别的贝叶斯多传感器数据融合-在海军和地面指挥和控制系统中的应用
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2018-01-01 DOI: 10.5220/0006629401070114
Albert Bodenmüller
{"title":"Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems","authors":"Albert Bodenmüller","doi":"10.5220/0006629401070114","DOIUrl":"https://doi.org/10.5220/0006629401070114","url":null,"abstract":"Military Command and Control Systems have to deal with a wide range of different sensors and sources. Besides traditional information sources like IFF, Tactical Data Links and ESM sensors additional sources like AIS, Blue Force Tracking and GMTI Radar become important sources for target identification and classification. A correct identification is an important prerequisite to prevent fratricide and civilian collateral damages and to complete the Situational Awareness. This paper gives an overview of our solution for the extension of the Bayesian identification process in order to establish a tactical picture for naval but also for air and ground targets. For some sensors and important identification source like Automatic Identification System (AIS), Automatic Target Recognition (ATR) and GMTI Radar our solution approach will be","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85011630","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
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