{"title":"Panoptes : a cheap, extensible, open-source multi-camera tracking system: demo abstract","authors":"M. Bal, Javier Yu, Karthik Dantu","doi":"10.1145/3055031.3055046","DOIUrl":"https://doi.org/10.1145/3055031.3055046","url":null,"abstract":"We are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). This system is motivated by two design goals - (i) ease of setup, and (ii) ability to be agnostic of individual cameras and recognition algorithms. The goal of this implementation is to be a poor man's motion capture system that can be quickly set up for experimentation and provide accurate 3-D pose of the rigid body and scalable across cameras and the volume of coverage.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"5 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":"116824241","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}
Kai-Hsiang Ke, Q. Liang, G. Zeng, Jun-Han Lin, Huang-Chen Lee
{"title":"A LoRa wireless mesh networking module for campus-scale monitoring: demo abstract","authors":"Kai-Hsiang Ke, Q. Liang, G. Zeng, Jun-Han Lin, Huang-Chen Lee","doi":"10.1145/3055031.3055034","DOIUrl":"https://doi.org/10.1145/3055031.3055034","url":null,"abstract":"LoRa, an emerging wireless technology, is examined for long range communication performance in a large area. Although LoRa shows good performance for long-distance transmission in the countryside, its radio signals can be attenuated and interfered with by buildings, trees and other signal sources. In urban areas, our observation shows that LoRa requires a dense deployment of LoRa gateways to ensure that indoor LoRa devices can transfer data back to remote servers. Mesh networking is a solution for increasing the communication range and packet delivery ratio without the need to install additional LoRa gateways. This study presents our design of a LoRa mesh-networking module for IoT applications (e.g.,collecting data from multiple, widely distributed sensors on a university campus). We deployed 19 LoRa mesh-networking devices distributed in an 800m by 600m area on campus to serve as a gateway and to collect data at one-minute intervals. The results show our LoRa mesh networking module achieved a 88.49% packet delivery ratio (PDR), while the LoRaWAN in star-network topology was only 58.7% under the same conditions.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"76 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":"128593494","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}
Ramin Fallahzadeh, B. Minor, L. Evangelista, D. Cook, Hassan Ghasemzadeh
{"title":"Mobile sensing to improve medication adherence: demo abstract","authors":"Ramin Fallahzadeh, B. Minor, L. Evangelista, D. Cook, Hassan Ghasemzadeh","doi":"10.1145/3055031.3055045","DOIUrl":"https://doi.org/10.1145/3055031.3055045","url":null,"abstract":"One of major challenges in chronic disease self-management is the lack of medication adherence. Despite the proliferation of mobile technologies, the potential of using pervasive computing solutions for improved medication management has remained almost unexplored. In this paper, we present a smart-phone based system capable of delivering adaptive activity-aware medication reminders by learning the user's activity of daily living and detecting the most appropriate and effective timing for medication reminders centered around the initial user-specified schedule.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"38 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":"125962529","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}
Yuhan Dong, Rui Wang, Zheng Li, Chen Cheng, Kai Zhang
{"title":"Improved reverse localization schemes for underwater wireless sensor networks: poster abstract","authors":"Yuhan Dong, Rui Wang, Zheng Li, Chen Cheng, Kai Zhang","doi":"10.1145/3055031.3055070","DOIUrl":"https://doi.org/10.1145/3055031.3055070","url":null,"abstract":"Localization of sensor nodes is important for wireless sensor networks (WSNs) especially for underwater WSNs (UWSNs). Among the existing UWSN localization approaches, reverse localization scheme (RLS) is an event-driven method suitable for underwater surveillance. RLS adopts the strongest arrival or the first arrival as the direct path, which is however not accurate enough due to the severe multipath effect in underwater acoustic channels. We propose median RLS (MRLS) to select the median path and weighted RLS (WRLS) by assigning each path with a possibility to be the direct path for UWSNs. Numerical results have validated the proposed schemes and further suggested that WRLS outperforms MRLS and traditional approaches and is capable to diminish the multipath effect.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"62 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":"129889784","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}
{"title":"Natural timestamping using electrical power grid: demo abstract","authors":"S. Viswanathan, Yang Li, Rui Tan","doi":"10.1145/3055031.3055039","DOIUrl":"https://doi.org/10.1145/3055031.3055039","url":null,"abstract":"The continuous fluctuation of electric network frequency (ENF) presents a fingerprint indicative of time, which we call natural timestamp. This live demo demonstrates the accuracy of the natural timestamps obtained by four wired voltage sensors and four wireless electromagnetic radiation (EMR) sensors that are geographically distributed in Singapore. The voltage sensors and the EMR sensors capture the minute fluctuations of the length of each voltage cycle and the average ENF over every 50 voltage cycles, respectively. The evaluation in our prior studies [1, 3] has shown that the natural timestamps recorded by the voltage sensors and the EMR sensors give sub-millisecond and sub-second average time errors, respectively. This demo will also show their time errors.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"21 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":"121901660","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}
Tian Zhou, Yue Zhang, Xinlei Chen, Pei Zhang, Lin Zhang
{"title":"E-loc: indoor localization through building electric wiring: poster abstract","authors":"Tian Zhou, Yue Zhang, Xinlei Chen, Pei Zhang, Lin Zhang","doi":"10.1145/3055031.3055064","DOIUrl":"https://doi.org/10.1145/3055031.3055064","url":null,"abstract":"E-Loc is an indoor localization system, which, through using existing indoor electric wiring, detects occupants' location. While many indoor localization technologies require intensive infrastructural supports, E-Loc obtain locations by injecting a signal into the protected earth line of existing residential power network. Caused by human body inside a room, the electromagnetic character changes can be detected to deduce a resident's location. We evaluate our system through experiments inside multiple rooms and our system is able to reach meter-level accuracy.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"5 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":"116939743","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}
{"title":"KLEP: a kernel level energy profiling tool for Android: poster abstract","authors":"Dong Li, R. Du, Li Cui, G. Xing","doi":"10.1145/3055031.3055061","DOIUrl":"https://doi.org/10.1145/3055031.3055061","url":null,"abstract":"We propose a kernel-level energy profiling tool KLEP that can work with diverse APIs of Android. KLEP addresses the challenges of the tail energy problem and the complex interrelation between hardware components in the device energy consumption profile. KLEP collects energy-sensitive events in the kernel and measures real energy consumption of the device at the same time, and employs a LSTM neural-network-based model for energy profiling. The preliminary results show that the curves profiled by KLEP can match the actual energy consumption with low error and overhead.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"100 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":"115446113","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}
Z. S. Hashemifar, Charuvahan Adhivarahan, Karthik Dantu
{"title":"Improving RGB-D SLAM using wi-fi: poster abstract","authors":"Z. S. Hashemifar, Charuvahan Adhivarahan, Karthik Dantu","doi":"10.1145/3055031.3055067","DOIUrl":"https://doi.org/10.1145/3055031.3055067","url":null,"abstract":"Simultaneous Localization and Mapping (SLAM) is the process of learning about both the environment and about a robot's location with respect to the environment and is essential for robots to autonomously navigate. A variety of algorithms using many different sensors such as RGB-D cameras, laser range finders, ultrasonic sensors and others have been proposed to perform SLAM. However, these algorithms face common challenges are that of computational complexity, wrong loop closure detection and failure to localize correctly when robot loses state (kidnapped robot problem). In this work, we utilize Wi-Fi signal strength sensing to aid the SLAM process in indoor environments and address the challenges mentioned above.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"31 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":"121692423","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}
{"title":"Long-term monitoring of cane-toads using acoustic sensors: poster abstract","authors":"Jie Xie, Jinglan Zhang, M. Towsey, P. Roe","doi":"10.1145/3055031.3055056","DOIUrl":"https://doi.org/10.1145/3055031.3055056","url":null,"abstract":"Cane-toads (Bufo marinus) are introduced to Australia to negate the insect pests. However, cane-toad population is out of control, and has highly affected native frog species for its great reproductive capacity. Therefore, it is necessary to monitor cane-toads and control their population. Recent advances in acoustic sensors make it possible to monitor cane-toads over long periods. In this paper, we present a novel approach to analyze cane-toad calls for long-term monitoring. Specifically, recorded acoustic data is first transformed into spectrogram using short-time Fourier transform. Then, cane-toad calls are recognized with an oscillation detector. Next, recognized cane-toad calls are annotated for further analysis. Initial analysis of our method demonstrates promising results, with 71.36% true positive rate. With the oscillation detector, cane-toad calling activity is investigated over the whole year.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"60 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":"116534789","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}
{"title":"Prolonging global connectivity in group-based industrial wireless sensor networks: poster abstract","authors":"Lei Shu, M. Mukherjee, Di Wang, Wei Fang, Yu Chen","doi":"10.1145/3055031.3055071","DOIUrl":"https://doi.org/10.1145/3055031.3055071","url":null,"abstract":"Group connectivity is one of the major research challenges in large-scale industrial wireless sensor networks (IWSNs). Critical nodes (CNs) are mainly responsible to maintain group-connectivity. This article focuses on prioritize these CNs to sleep more than other nodes in order to save their energy resulting prolong global connectivity in group-based IWSNs.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"51 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":"132756560","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}