Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems最新文献_第4页

MobyDick: an interactive multi-swimmer exergame MobyDick:一款多人互动游泳游戏

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668352

Woohyeok Choi, Je-ho Oh, Taiwoo Park, Seongjun Kang, Miri Moon, Uichin Lee, Inseok Hwang, Junehwa Song

{"title":"MobyDick: an interactive multi-swimmer exergame","authors":"Woohyeok Choi, Je-ho Oh, Taiwoo Park, Seongjun Kang, Miri Moon, Uichin Lee, Inseok Hwang, Junehwa Song","doi":"10.1145/2668332.2668352","DOIUrl":"https://doi.org/10.1145/2668332.2668352","url":null,"abstract":"The unique aquatic nature of swimming makes it very difficult to use social or technical strategies to mitigate the tediousness of monotonous exercises. In this study, we propose MobyDick, a smartphone-based multi-player exergame designed to be used while swimming, in which a team of swimmers collaborate to hunt down a virtual monster. In this paper, we present a novel, holistic game design that takes into account both human factors and technical challenges. Firstly, we perform a comparative analysis of a variety of wireless networking technologies in the aquatic environment and identify various technical constraints on wireless networking. Secondly, we develop a single phone-based inertial and barometric stroke activity recognition system to enable precise, real-time game inputs. Thirdly, we carefully devise a multi-player interaction mode viable in the underwater environment highly limiting the abilities of human communication. Finally, we prototype MobyDick on waterproof off-the-shelf Android phones, and deploy it to real swimming pool environments (n = 8). Our qualitative analysis of user interview data reveals certain unique aspects of multi-player swimming games.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922307","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: 30

PinPtr: a high-precision GPS cloud service PinPtr:高精度GPS云服务

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668342

Will Hedgecock, M. Maróti, Á. Lédeczi, P. Völgyesi, Rueben A. Banalagay

引用次数: 1

Person identification from arbitrary position and posture using kinect 使用kinect从任意位置和姿势识别人

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668359

V. R. Reddy, T. Chattopadhyay, Kingshuk Chakravarty, Aniruddha Sinha

引用次数: 14

HeartSense: smart phones to estimate blood pressure from photoplethysmography HeartSense:智能手机通过光电容积脉搏图来估计血压

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668378

Rohan Banerjee, A. Choudhury, Aniruddha Sinha, A. Visvanathan

引用次数: 10

GruMon: fast and accurate group monitoring for heterogeneous urban spaces GruMon:快速准确的异构城市空间群监测

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668340

Rijurekha Sen, Youngki Lee, Kasthuri Jayarajah, Archan Misra, R. Balan

{"title":"GruMon: fast and accurate group monitoring for heterogeneous urban spaces","authors":"Rijurekha Sen, Youngki Lee, Kasthuri Jayarajah, Archan Misra, R. Balan","doi":"10.1145/2668332.2668340","DOIUrl":"https://doi.org/10.1145/2668332.2668340","url":null,"abstract":"Real-time monitoring of groups and their rich contexts will be a key building block for futuristic, group-aware mobile services. In this paper, we propose GruMon, a fast and accurate group monitoring system for dense and complex urban spaces. GruMon meets the performance criteria of precise group detection at low latencies by overcoming two critical challenges of practical urban spaces, namely (a) the high density of crowds, and (b) the imprecise location information available indoors. Using a host of novel features extracted from commodity smartphone sensors, GruMon can detect over 80% of the groups, with 97% precision, using 10 minutes latency windows, even in venues with limited or no location information. Moreover, in venues where location information is available, GruMon improves the detection latency by up to 20% using semantic information and additional sensors to complement traditional spatio-temporal clustering approaches. We evaluated GruMon on data collected from 258 shopping episodes from 154 real participants, in two large shopping complexes in Korea and Singapore. We also tested GruMon on a large-scale dataset from an international airport (containing ≈37K+ unlabelled location traces per day) and a live deployment at our university, and showed both GruMon's potential performance at scale and various scalability challenges for real-world dense environment deployments.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115648570","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: 89

Group analytics and insights for public spaces 公共空间的群体分析和洞察

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668375

Kasthuri Jayarajah, Rijurekha Sen, Youngki Lee, Shriguru Nayak, Archan Misra, R. Balan

引用次数: 1

RushNet: practical traffic prioritization for saturated wireless sensor networks RushNet:用于饱和无线传感器网络的实用流量优先级

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668341

C. Liang, Kaifei Chen, B. Priyantha, Jie Liu, Feng Zhao

{"title":"RushNet: practical traffic prioritization for saturated wireless sensor networks","authors":"C. Liang, Kaifei Chen, B. Priyantha, Jie Liu, Feng Zhao","doi":"10.1145/2668332.2668341","DOIUrl":"https://doi.org/10.1145/2668332.2668341","url":null,"abstract":"Network traffic prioritization is gaining attention in the WSN community, as more and more features are being integrated into sensor networks. Real-world deployment experience suggests that WSN brings new challenges to existing problems, such as resource constraints, low data-rate radios, and diverse application scenarios. We present the RushNet framework that prioritizes two common traffic patterns in multi-hop sensor networks: low-priority (LP) traffic that is large-volume but delay-tolerant, and high-priority (HP) traffic that is sporadic but latency-sensitive. RushNet achieves schedule-free and coordination-free delivery differentiations with the following features. First, RushNet works with most data collection protocols to deliver LP traffic. Second, RushNet leverages transmission power difference and radio capture effect to implement on-demand HP packet delivery with low overhead. Third, RushNet proposes a retrodiction technique to help nodes minimize the overhead of recovering LP packet loss due to concurrent HP traffic. We evaluate RushNet performance with micro-benchmarks and a crowdsourced office comfort monitoring deployment. The deployment results suggest RushNet can achieve a throughput close to network capacity, and deliver 98% of the HP packets with a latency of less than four seconds.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128673739","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

AirCloud: a cloud-based air-quality monitoring system for everyone AirCloud:基于云的空气质量监测系统

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668346

Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Yilong Li, Ji Jia, Xiaofan Jiang

引用次数: 235

A browsing system with learning capability for internet of things 具有学习能力的物联网浏览系统

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668377

Wen-Tsuen Chen, Chih-Hang Wang, Yen-Ju Lai, Po-Yu Chen

引用次数: 1

ZiSense: towards interference resilient duty cycling in wireless sensor networks ZiSense:无线传感器网络抗干扰占空比研究

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems Pub Date : 2014-11-03 DOI: 10.1145/2668332.2668334

Xiaolong Zheng, Zhichao Cao, Jiliang Wang, Yuan He, Yunhao Liu

{"title":"ZiSense: towards interference resilient duty cycling in wireless sensor networks","authors":"Xiaolong Zheng, Zhichao Cao, Jiliang Wang, Yuan He, Yunhao Liu","doi":"10.1145/2668332.2668334","DOIUrl":"https://doi.org/10.1145/2668332.2668334","url":null,"abstract":"To save energy, wireless sensor networks often run in a low duty cycle mode, where the radios of sensor nodes are scheduled between ON and OFF states. For nodes to communicate with each other, Low Power Listening (LPL) and Low Power Probing (LPP) are two types of rendezvous mechanisms. Nodes with LPL or LPP rely on signal strength or probe packets to detect potential transmissions, and then keep the radio-on for communications. Unfortunately, in many cases, signal strength and probe packets are susceptible to interference, resulting in undesirable radio on time when the signal strength of interference is above a threshold or a probe packet is interfered. To address the issue, we propose ZiSense, an energy efficient rendezvous mechanism which is resilient to interference. Instead of checking the signal strength or decoding the probe packets, ZiSense detects the existence of ZigBee transmissions and wakes up nodes accordingly. On sensor nodes with limited information and resource, we carefully study and extract short-term features purely from the time-domain RSSI sequence, and design a rule-based approach to efficiently identify the existence of ZigBee. We theoretically analyze the benefit of ZiSense in different environments and implement a prototype in TinyOS with TelosB motes. We examine ZiSense performance under controlled interference and office environments. The evaluation results show that, compared with state-of-the-art rendezvous mechanisms, ZiSense significantly reduces the energy consumption.","PeriodicalId":223777,"journal":{"name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127524319","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: 82