Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems最新文献_第7页

Real-time Occupancy Correction Method for 3D Stereovision Counting Cameras 三维立体视觉计数相机的实时占用校正方法

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275204

Fisayo Caleb Sangogboye, M. Kjærgaard

引用次数: 1

Biometric Gait Identification for Exercise Reward System using Smart Earring 基于智能耳环的运动奖励系统生物特征步态识别

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275186

Sanghoon Jeon, Hee-Jung Yoon, Y. Lee, S. Son, Y. Eun

引用次数: 2

MARVEL 奇迹

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274834

Kaifei Chen, Tong Li, Hyung-Sin Kim, D. Culler, R. Katz

引用次数: 66

Fall-curve: A novel primitive for IoT Fault Detection and Isolation 下降曲线:物联网故障检测和隔离的新原语

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274853

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

{"title":"Fall-curve: A novel primitive for IoT Fault Detection and Isolation","authors":"Tusher Chakraborty, A. Nambi, Ranveer Chandra, Rahul Sharma, Manohar Swaminathan, Zerina Kapetanovic, J. Appavoo","doi":"10.1145/3274783.3274853","DOIUrl":"https://doi.org/10.1145/3274783.3274853","url":null,"abstract":"The proliferation of Internet of Things (IoT) devices has led to the deployment of various types of sensors in the homes, offices, buildings, lawns, cities, and even in agricultural farms. Since IoT applications rely on the fidelity of data reported by the sensors, it is important to detect a faulty sensor and isolate the cause of the fault. Existing fault detection techniques demand sensor domain knowledge along with the contextual information and historical data from similar near-by sensors. However, detecting a sensor fault by analyzing just the sensor data is non-trivial since a faulty sensor reading could mimic non-faulty sensor data. This paper presents a novel primitive, which we call the Fall-curve - a sensor's voltage response when the power is turned off - that can be used to characterize sensor faults. The Fall-curve constitutes a unique signature independent of the phenomenon being monitored which can be used to identify the sensor and determine whether the sensor is correctly operating. We have empirically evaluated the Fall-curve technique on a wide variety of analog and digital sensors. We have also been running this system live in a few agricultural farms, with over 20 IoT devices. We were able to detect and isolate faults with an accuracy over 99%, which would have otherwise been hard to detect only by observing measured sensor data.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"84 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120835843","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: 35

Aerial Interactions with Wireless Sensors 与无线传感器的空中交互

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275189

Laksh Bhatia, D. Boyle, J. Mccann

引用次数: 1

Vibration-Based Occupant Activity Level Monitoring System 基于振动的乘员活动水平监测系统

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275177

Yue Zhang, Shijia Pan, Jonathon Fagert, Mostafa Mirshekari, H. Noh, Pei Zhang, Lin Zhang

引用次数: 3

Real-time Attitude and Motion Tracking for Mobile Device in Moving Vehicle 移动车辆中移动设备的实时姿态和运动跟踪

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275181

Chongguang Bi, G. Xing

引用次数: 3

DIY Health IoT Apps DIY健康物联网应用

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275206

A. Khaled, Wyatt Lindquist, A. Helal

引用次数: 3

Automatic Unusual Driving Event Identification for Dependable Self-Driving 面向可靠自动驾驶的异常驾驶事件自动识别

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3274838

Hongyu Li, Hairong Wang, Luyang Liu, M. Gruteser

{"title":"Automatic Unusual Driving Event Identification for Dependable Self-Driving","authors":"Hongyu Li, Hairong Wang, Luyang Liu, M. Gruteser","doi":"10.1145/3274783.3274838","DOIUrl":"https://doi.org/10.1145/3274783.3274838","url":null,"abstract":"This paper introduces techniques to automatically detect driving corner cases from dashcam video and inertial sensors. Developing robust driver assistance and automated driving technologies requires an understanding of not just common highway and city traffic situations but also a plethora of corner cases that may be encountered in billions of miles of driving. Current approaches seek to collect such a catalog of corner cases by driving millions of miles with self-driving prototypes. In contrast, this paper introduces a low-cost yet scalable solution to collect such events from any dashcam-equipped vehicle to take advantage of the billions of miles that humans already drive. It detects unusual events through inertial sensing of sudden human driver reactions and rare visual events through a trained autoencoder deep neural network. We evaluate the system based on more than 120 hours real road driving data. It shows 82% accuracy improvement versus strawman solutions for sudden reaction detection and above 71% accuracy for rare visual views identification. The detection results proved useful for re-training and improving a self-steering algorithm on more complex situations. In terms of computational efficiency, the Android prototype achieves 17Hz frame rate (Nexus 5X).","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"52 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":"122603219","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: 21

Interpreting Contextual Information through User-centric Network Discovery 通过以用户为中心的网络发现来解释上下文信息

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems Pub Date : 2018-11-04 DOI: 10.1145/3274783.3275175

S. Faye, D. Khadraoui

引用次数: 0