2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)最新文献

HB-Phone: A Bed-Mounted Geophone-Based Heartbeat Monitoring System HB-Phone:基于床上检波器的心跳监测系统

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2017-04-18 DOI: 10.1145/3055031.3055042

Zhenhua Jia, Musaab Alaziz, Xiang Chi, R. Howard, Yanyong Zhang, Pei Zhang, W. Trappe, A. Sivasubramaniam, N. An

{"title":"HB-Phone: A Bed-Mounted Geophone-Based Heartbeat Monitoring System","authors":"Zhenhua Jia, Musaab Alaziz, Xiang Chi, R. Howard, Yanyong Zhang, Pei Zhang, W. Trappe, A. Sivasubramaniam, N. An","doi":"10.1145/3055031.3055042","DOIUrl":"https://doi.org/10.1145/3055031.3055042","url":null,"abstract":"Heartbeat monitoring during sleep is critically important to ensuring the well-being of many people, ranging from patients to elderly. Technologies that support heartbeat monitoring should be unobtrusive, and thus solutions that are accurate and can be easily applied to existing beds is an important need that has been unfulfilled. We tackle the challenge of accurate, low-cost and easy to deploy heartbeat monitoring by investigating whether off-the- shelf analog geophone sensors can be used to detect heartbeats when installed under a bed. Geophones have the desirable property of being insensitive to lower-frequency movements, which lends itself to heartbeat monitoring as the heartbeat signal has harmonic frequencies that are easily captured by the geophone. At the same time, lower-frequency movements such as respiration, can be naturally filtered out by the geophone. With carefully-designed signal processing algorithms, we show it is possible to detect and extract heartbeats in the presence of environmental noise and other body movements a person may have during sleep. We have built a prototype sensor and conducted detailed experiments that involve 43 subjects (with IRB approval), which demonstrate that the geophone sensor is a compelling solution to long-term at-home heartbeat monitoring. We compared the average heartbeat rate estimated by our prototype and that reported by a pulse oximeter. The results revealed that the average error rate is around 1.30% over 500 data samples when the subjects were still on the bed, and 3.87% over 300 data samples when the subjects had different types of body movements while lying on the bed. We also deployed the prototype in the homes of 9 subjects for a total of 25 nights, and found that the average estimation error rate was 8.25% over more than 181 hours' data.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124629024","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: 59

Poster Abstract: An Ultra-Low Power Wake up Radio with Addressing and Retransmission Capabilities for Advanced Energy Efficient MAC Protocols 海报摘要:具有寻址和重传能力的超低功耗唤醒无线电，用于先进的节能MAC协议

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-28 DOI: 10.1109/IPSN.2016.7460696

T. Polonelli, M. Magno, L. Benini

{"title":"Poster Abstract: An Ultra-Low Power Wake up Radio with Addressing and Retransmission Capabilities for Advanced Energy Efficient MAC Protocols","authors":"T. Polonelli, M. Magno, L. Benini","doi":"10.1109/IPSN.2016.7460696","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460696","url":null,"abstract":"Wireless sensor networks (WSNs) are today widely employed in real world applications. However, their lifetime is still challenging and the most critical limitation for the success of this technology. In fact, wireless sensors nodes, which are the backbone of the network, are typically powered by limited energy storage devices (i.e. small batteries or supercaps) and their short lifetime is a critical issue. To overcome this limitation a major research effort focuses on reducing power consumption, especially of communication, as the radio transceiver is one of the highest power consumers. A critical energy-efficiency issue in WSN transceivers is idle listening. Wake-up radio receivers are very effective in minimizing idle listening. This fact has resulted in a significant number of wake-up radio receiver architectures proposed in last decade. In this work we present an advanced design and implementation of an advanced wake-up radio that is capable of both processing the received data (i.e. for addressing) and retransmitting data or wake up messages to the neighbours when necessary. With these features it can be possible to further enhance the energy efficiency of the communication and allowing ultra-low power multi-hop communication. Experimental results demonstrate the functionality as well as the power and range of the proposed design which is ready for future energy efficient and pure-asynchronous MAC protocols.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130942421","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: 6

Ph.D. Forum Abstract: Modeling and Evaluation of Dependable Wireless Sensor Networks 摘要:可靠无线传感器网络的建模与评估

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-28 DOI: 10.1109/IPSN.2016.7460688

Leo Krüger

引用次数: 1

Poster Abstract: SmileWave - Sensing and Analysis of Smile-Based Emotional Contagion over Social Network 摘要:SmileWave——基于微笑的社交网络情绪感染的感知与分析

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-28 DOI: 10.1109/IPSN.2016.7460714

Wataru Sasaki, Yuki Furukawa, Yuuki Nishiyama, T. Okoshi, J. Nakazawa, H. Tokuda

引用次数: 1

Poster Abstract: MagoNode++ - A Wake-Up-Radio-Enabled Wireless Sensor Mote for Energy-Neutral Applications 海报摘要:MagoNode++ -一个用于能量中性应用的唤醒无线电无线传感器Mote

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-28 DOI: 10.1109/IPSN.2016.7460708

M. Paoli, Dora Spenza, C. Petrioli, M. Magno, L. Benini

引用次数: 13

Characterizing the Accuracy of a Self-Synchronized Reverse-GPS Wildlife Localization System 自同步逆gps野生动物定位系统的精度表征

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460662

Adi Weller Weiser, Yotam Orchan, Ran Nathan, M. Charter, A. Weiss, Sivan Toledo

{"title":"Characterizing the Accuracy of a Self-Synchronized Reverse-GPS Wildlife Localization System","authors":"Adi Weller Weiser, Yotam Orchan, Ran Nathan, M. Charter, A. Weiss, Sivan Toledo","doi":"10.1109/IPSN.2016.7460662","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460662","url":null,"abstract":"We characterize the accuracy of a wildlife localization system that is based on the reverse-GPS or time-of-arrival (TOA) principle, in which radio receivers at known locations collaborate to determine the location of a transmitter attached to a wild animal. We describe the system in detail and show that it produces accurate location estimates in real settings and over long periods of time. Localization errors of wild animals carrying our transmitters have standard deviation of about 5m and mean of 5-15m. If we restrict the system to operate in the center of the receiver's band-pass filters, the mean error drops to about 5m. We also show how to reliably quantify the error in each individual location estimate. In addition to the characterization of accuracy, we introduce three technical innovations in the system. First, a method to model the error of individual time-of- arrival measurements, enabling correct weighing of the data to estimate locations and allowing estimation of the covariance matrix of each location estimate. Second, extensive use of known- position beacon transmitters, to synchronize the clocks of receivers (radio-frequency TOA localization require accurate clocks), to characterize and continuously monitor the performance of the system, and to model arrival- time-estimation errors. Third, we estimate the covariance matrix of each localization.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117179892","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: 50

Ph.D. Forum Abstract: Activity-Based Implicit Authentication for Wearable Devices 摘要:基于活动的可穿戴设备隐式认证

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460684

Yunze Zeng

引用次数: 3

Poster Abstract: A Framework for Chainsaw Detection Using One-Class and WSNs 摘要:基于一类和wsn的链锯检测框架

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460691

J. Colonna, B. Gatto, E. Nakamura, E. M. Santos

{"title":"Poster Abstract: A Framework for Chainsaw Detection Using One-Class and WSNs","authors":"J. Colonna, B. Gatto, E. Nakamura, E. M. Santos","doi":"10.1109/IPSN.2016.7460691","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460691","url":null,"abstract":"The Amazon Rainforest degradation is a worldwide concern. The rainforest has been endangered by the illegal wood extraction without control even in the preservation areas. Due to the large geography extension prevent these crimes with an unmanned aerial vehicle (UAV) is not always possible. The Wireless Acoustics Sensor Network (WASNs) technology can alleviate this problem. Here, we present an acoustical framework to detect the sounds produced by several chainsaws. Our framework was developed to be embedded in a sensor node, combining the Mel-Fourier Cepstral Coefficients (MFCCs) with One-class classification technique. This classification method, that is based on a kernel density approach, allows us to recognize only chainsaw sounds rejecting all the other possible environmental sounds, such as: animal's calls, weather noises or boat engines. In the experiments, we varied the number MFCCs coefficients and the Kernel bandwidth performing a leave-one-out cross validation to find the best combination. Finally, we found that the best parameter combination achieve 98% of accuracy showing a low FNR and a high TPR, fact that enhances the credibility of the system avoiding false alarms and making it an optimal choice for an WSN application.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131217977","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

Poster Abstract: KinetiSee - A Perpetual Wearable Camera Acquisition System with a Kinetic Harvester 海报摘要:KinetiSee -一个永久可穿戴相机采集系统与动力收割机

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460706

L. Spadaro, M. Magno, L. Benini

{"title":"Poster Abstract: KinetiSee - A Perpetual Wearable Camera Acquisition System with a Kinetic Harvester","authors":"L. Spadaro, M. Magno, L. Benini","doi":"10.1109/IPSN.2016.7460706","DOIUrl":"https://doi.org/10.1109/IPSN.2016.7460706","url":null,"abstract":"Wearable devices are massively entering in our life and they are more and more pushing the interest big electronic producer. Then, today many company are offering wearable \"smart\" objects to be worn which enable a wide range of application (form sport & fitness, to entrainment, from tracking to health care). A common issue of wearable device that is reducing the appeal of them is the limited lifetime due to limited energy that can be stored in them batteries. Self-sustainable devices which can avoid to recharge or replace the batteries, as it happens in automatic quartz watches, is still a dream for wearable devices. This paper presents a wearable device with an ultra low camera, which can achieve this dream. To achieve this goal, the Wearable camera has been carefully designed with low power consumption in mind and leveraging a kinetic energy harvester to scavenge energy from the human body movements. The experimental results shows the impressive amount of energy (up to 9.6mJ per minute) that can be acquired during different human activities (running, walking, etc) and the self- sustainability of the solution acquiring up to more than 2000 images for hour when is running.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132826374","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: 11

System Design for a Synergistic, Low Power Mote/BLE Embedded Platform 协同低功耗Mote/BLE嵌入式平台的系统设计

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2016-04-11 DOI: 10.1109/IPSN.2016.7460722

Michael P. Andersen, Gabe Fierro, D. Culler

引用次数: 37