Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems最新文献_第6页

Selective Visible Light Communication for Multiple Video Cameras using a Single Light Source 使用单一光源的多摄像机的选择性可见光通信

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275170

A. Hirano, Shota Shimada, H. Hashizume, M. Sugimoto

引用次数: 0

Fabric as a Sensor: Towards Unobtrusive Sensing of Human Behavior with Triboelectric Textiles 织物作为传感器:用摩擦电纺织品实现对人类行为的不显眼的感知

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274845

A. Kiaghadi, Morgan Baima, Jeremy Gummeson, Trisha L. Andrew, Deepak Ganesan

{"title":"Fabric as a Sensor: Towards Unobtrusive Sensing of Human Behavior with Triboelectric Textiles","authors":"A. Kiaghadi, Morgan Baima, Jeremy Gummeson, Trisha L. Andrew, Deepak Ganesan","doi":"10.1145/3274783.3274845","DOIUrl":"https://doi.org/10.1145/3274783.3274845","url":null,"abstract":"Smart apparel with embedded sensors have the potential to revolutionize human behavior sensing by leveraging everyday clothing as the sensing substrate. However, existing textile-based sensing techniques rely on tight-fitting garments to obtain sufficient signal to noise, making it uncomfortable to wear and limiting the technology to niche applications like athletic performance monitoring. Our solution leverages functionalized fabric to measure the triboelectric charges induced by folding and compression of the textile itself, making it a more natural fit for everyday clothing. However, the large sensing surface of a functionalized textile also increases body-coupled noise and motion artifacts, and introduces new challenges in how we suppress noise to detect the weak triboelectric signal. We address these challenges using a combination of textile, electronics, and signal analysis-based innovations, and robustly sense joint motions by improving SNR and extracting highly discriminative features from the signal. Additionally, we demonstrate how the same sensor can be used to measure relative changes in skin moisture levels induced by sweating. Our design uses a simple-to-manufacture layered architecture that can be incorporated into any conventional, loosely worn textile. We show that the sensor has high performance in natural conditions by benchmarking the accuracy of sensing several kinematic metrics as well as sweat level. Additionally, we provide real-world performance evaluations across three application case studies including activity classification, perspiration measurements during exercise, and comfort level detection for HVAC systems.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885228","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: 26

Accurate 3D Localization for 60 GHz Networks 60 GHz网络的精确3D定位

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274852

Ioannis Pefkianakis, Kyu-Han Kim

{"title":"Accurate 3D Localization for 60 GHz Networks","authors":"Ioannis Pefkianakis, Kyu-Han Kim","doi":"10.1145/3274783.3274852","DOIUrl":"https://doi.org/10.1145/3274783.3274852","url":null,"abstract":"RF-based (mainly Wi-Fi and BLE) localization systems have been gaining the significant amount of attention from industry, since they do not require the deployment of any special and costly infrastructure such as cameras and depth sensors but leverage existing wireless Access Points (APs) and mobile clients. However, extensive field trials have shown that such solutions can be inaccurate (e.g., meter-level localization error) and/or impractical (e.g., requiring centrally-controlled, dense AP deployments). In this paper, we focus on millimeter-wave wireless networks, which are becoming increasingly popular for both indoors and outdoors connectivity, to overcome the aforementioned limitations and to provide accurate 3D localization. Specifically, we propose mWaveLoc, a system that exploits the small wavelength (millimeter) and directional communication of millimeter-wave (e.g., in 60 GHz) networks for accurate and practical 3D localization. mWaveLoc relies only on a single AP to track a device's position and works with existing off-the-shelf 802.11ad 60 GHz devices. Our implementation and experimental results on commodity 802.11ad testbeds show that mWaveLoc can achieve centimeter-level AP-client distance estimation accuracy and decimeter-level 3D localization accuracy in Line-Of-Sight settings.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129151246","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: 33

64Key 64键

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275214

F. Izzo, Lorenzo Aspesi, Alberto Bellini, Chiara Pacchiarotti, F. Caimi, G. Persano, Niccolò Izzo, Pietro Tordini, L. Mottola, M. Bianchini, S. Maffei

引用次数: 0

DISCO: Ultra-Lightweight Mobility Discovery DISCO:超轻型移动探索

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275173

S. Faye, F. Melakessou, D. Khadraoui

引用次数: 2

Hidebehind

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274855

Jianwei Qian, Haohua Du, Jiahui Hou, Linlin Chen, Taeho Jung, Xiangyang Li

{"title":"Hidebehind","authors":"Jianwei Qian, Haohua Du, Jiahui Hou, Linlin Chen, Taeho Jung, Xiangyang Li","doi":"10.1145/3274783.3274855","DOIUrl":"https://doi.org/10.1145/3274783.3274855","url":null,"abstract":"We are speeding toward a not-too-distant future when we can perform human-computer interaction using solely our voice. Speech recognition is the key technology that powers voice input, and it is usually outsourced to the cloud for the best performance. However, user privacy is at risk because voiceprints are directly exposed to the cloud, which gives rise to security issues such as spoof attacks on speaker authentication systems. Additionally, it may cause privacy issues as well, for instance, the speech content could be abused for user profiling. To address this unexplored problem, we propose to add an intermediary between users and the cloud, named VoiceMask, to anonymize speech data before sending it to the cloud for speech recognition. It aims to mitigate the security and privacy risks by concealing voiceprints from the cloud. VoiceMask is built upon voice conversion but is much more than that; it is resistant to two de-anonymization attacks and satisfies differential privacy. It performs anonymization in resource-limited mobile devices while still maintaining the usability of the cloud-based voice input service. We implement VoiceMask on Android and present extensive experimental results. The evaluation substantiates the efficacy of VoiceMask, e.g., it is able to reduce the chance of a user's voice being identified from 50 people by a mean of 84%, while reducing voice input accuracy no more than 14.2%.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114319019","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: 62

InK 墨水

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274837

K. Yıldırım, Amjad Yousef Majid, Dimitris Patoukas, Koen Schaper, P. Pawełczak, Josiah D. Hester

{"title":"InK","authors":"K. Yıldırım, Amjad Yousef Majid, Dimitris Patoukas, Koen Schaper, P. Pawełczak, Josiah D. Hester","doi":"10.1145/3274783.3274837","DOIUrl":"https://doi.org/10.1145/3274783.3274837","url":null,"abstract":"Tiny energy harvesting battery-free devices promise maintenance free operation for decades, providing swarm scale intelligence in applications from healthcare to building monitoring. These devices operate intermittently because of unpredictable, dynamic energy harvesting environments, failing when energy is scarce. Despite this dynamic operation, current programming models are static; they ignore the event-driven and time-sensitive nature of sensing applications, focusing only on preserving forward progress while maintaining performance. This paper proposes InK; the first reactive kernel that provides a novel way to program these tiny energy harvesting devices that focuses on their main application of event-driven sensing. InK brings an event-driven paradigm shift for batteryless applications, introducing building blocks and abstractions that enable reacting to changes in available energy and variations in sensing data, alongside task scheduling, while maintaining a consistent memory and sense of time. We implemented several event-driven applications for InK, conducted a user study, and benchmarked InK against the state-of-the-art; InK provides up to 14 times more responsiveness and was easier to use. We show that InK enables never before seen batteryless applications, and facilitates more sophisticated batteryless programs.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123716255","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: 121

Image Compression Task Coordination Mechanism Based on Dynamic Alliance in Mobile Wireless Multimedia Sensor Networks 移动无线多媒体传感器网络中基于动态联盟的图像压缩任务协调机制

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275171

He Li, Tian Xiao, Yihua Lan, Qinglei Qi, QUAN LIU, Jinjiang Liu

引用次数: 0

Sensor Identification and Fault Detection in IoT Systems 物联网系统中的传感器识别和故障检测

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275190

Tusher Chakraborty, A. Nambi, Ranveer Chandra, Rahul Sharma, Manohar Swaminathan, Zerina Kapetanovic

引用次数: 3

RF Technologies for Indoor Localization and Positioning 用于室内定位和定位的射频技术

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275217

Xuanjiao Zhu, M. Handte, Mehmet Rasit Eskicioglu

引用次数: 2