2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第7页

Random Forest Based Bus Operation States Classification Using Vehicle Sensor Data 基于车辆传感器数据的随机森林公交运行状态分类

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480291

T. Yonezawa, Ismail Arai, Toyokazu Akiyama, K. Fujikawa

引用次数: 4

MagController: A System for Touchless Mobile Devices Control Using the Magnetic Field 磁控制器:一种利用磁场控制非接触式移动设备的系统

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480128

Heba Abdelnasser, Ayman Khalafallah, M. Youssef

{"title":"MagController: A System for Touchless Mobile Devices Control Using the Magnetic Field","authors":"Heba Abdelnasser, Ayman Khalafallah, M. Youssef","doi":"10.1109/PERCOMW.2018.8480128","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480128","url":null,"abstract":"A lot of improvements have been proposed in mobile computing devices, especially the wearable devices, in recent years. However, the input techniques remain a key challenge. One of the main methods for interacting with small screen devices today is the inflexible and error-prone touch-screen. In this paper, we propose MagController: a magnetic-based input technique that offers users wireless, unpowered, and high precision input for computing devices.The core idea is to leverage the triaxial magnetometer embedded in standard devices to accurately recognize a magnet different control actions. MagController also provides a number of modules that allow it to cope with background magnetic noise, heterogeneous devices, different magnet shapes, sizes, and strengths, as well as changes in magnet orientations.Our implementation of MagController on Android phones with extensive evaluation in wide range of environmental conditions scenarios shows that it can detect the magnet orientation with accuracy of more than 98%. In addition, MagController can recognize the magnetic actions with accuracy of 97% in different magnet’s orientations relative to the device. This accuracy is robust with different phones and magnets, highlighting MagController’s promise as an input technique for computing devices.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115734966","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: 3

Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data 基于多传感器步态的日常活动数据智能标注工具

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480193

C. Martindale, N. Roth, J. Hannink, S. Sprager, B. Eskofier

{"title":"Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data","authors":"C. Martindale, N. Roth, J. Hannink, S. Sprager, B. Eskofier","doi":"10.1109/PERCOMW.2018.8480193","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480193","url":null,"abstract":"The monitoring of patients within a natural, home environment is important in order to close knowledge gaps in the treatment and care of neurodegenerative diseases, such as quantifying the daily fluctuation of Parkinson’s patients’ symptoms. The combination of machine learning algorithms and wearable sensors for gait analysis is becoming capable of achieving this. However, these algorithms require large, labelled, realistic datasets for training. Most systems used as a ground truth for labelling are restricted to the laboratory environment, as well as being large and expensive. We propose a study design for a realistic activity monitoring dataset, collected with inertial measurement units, pressure insoles and cameras. It is not restricted by a fixed location or capture volume and still enables the labelling of gait phases or, where non-gait movement such as jumping occur: on-the-ground, off-the-ground phases. Additionally, this paper proposes a smart annotation tool which reduces annotation cost by more than 80%. This smart annotation is based on edge detection within the pressure sensor signal. The tool also enables annotators to perform assisted correction of these labels in a post-processing step. This system enables the collection and labelling of large, fairly realistic datasets where 93% of the automatically generated labels are correct and only an additional 10% need to be inserted manually. Our tool and protocol, as a whole, will be useful for efficiently collecting the large datasets needed for training and validation of algorithms capable of cyclic human motion analysis in natural environments.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115445271","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: 10

Purpose-of-Visit-Driven Semantic Similarity Analysis on Semantic Trajectories for Enhancing The Future Location Prediction 基于访问目的驱动的语义轨迹语义相似度分析增强未来位置预测

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480230

Antonios Karatzoglou, Dominik Koehler, M. Beigl

{"title":"Purpose-of-Visit-Driven Semantic Similarity Analysis on Semantic Trajectories for Enhancing The Future Location Prediction","authors":"Antonios Karatzoglou, Dominik Koehler, M. Beigl","doi":"10.1109/PERCOMW.2018.8480230","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480230","url":null,"abstract":"The number of people that are using or are even dependent on Location Based Services (LBS) is growing rapidly every year. In order to offer timely and user-tailored services, providers rely increasingly on forward-looking algorithms. For this reason, location prediction plays a key role in LBS. Recent approaches in location prediction leverage semantics in order to overcome drawbacks that characterise conventional non-semantic systems. However, when it comes to modelling locations, the majority of them constrain themselves to static semantical constructs and hierarchies, without taking the current situation, and most importantly, the users’ varying personal perception into account. In this work, we introduce a novel dynamic approach that aims at taking the variation of the users’ perception explicitly into consideration when describing locations, in order to elevate the overall prediction performance. For this purpose, we consider explicitly time and purpose of visit by building so called Purpose-of-Visit-Dependent Frames (PoVDF). Our framework is hybrid and combines both a data-driven, as well as a knowledge-driven model. To fuse these two models, we define a Purpose-of-Visit-Driven Semantic Similarity (PoVDSS) metric and use it as a fusing component between the two models. We conducted a user study to evaluate our approach on a real data set and compared it with two state of the art semantic and non-semantic algorithms. Our evaluation shows that our approach yields a location prediction accuracy of up to 80%.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128681363","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: 10

An Interoperable Notification Service for Pervasive Computing 面向普适计算的可互操作通知服务

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480092

F. Roth, Martin Pfannemüller, C. Becker, P. Lalanda

引用次数: 2

Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems 在自适应系统中使用电子表格定义的推理规则

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480283

Christian Krupitzer, Guido Drechsel, Deborah Mateja, Alina Pollklasener, Florian Schrage, Timo Sturm, Aleksandar Tomasovic, C. Becker

{"title":"Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems","authors":"Christian Krupitzer, Guido Drechsel, Deborah Mateja, Alina Pollklasener, Florian Schrage, Timo Sturm, Aleksandar Tomasovic, C. Becker","doi":"10.1109/PERCOMW.2018.8480283","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480283","url":null,"abstract":"Using rules to capture adaptation knowledge is a common approach for self-adaptive systems. Rule-based reasoning, i.e., using rules to analyze and plan adaptations, has several advantages: (i) it is easy to implement, (ii) it offers fast reasoning, and (iii) it works on resource-spare systems as historical knowledge is not required. Hence, the needed computational power is low and it perfectly suits systems in the pervasive IoT domain. However, the codification of rules poses a challenge to the system design. Existing approaches often require a specific syntax or programming language. Additionally, some approaches force the developer to customize the reasoning mechanism, hence, to reimplement parts of the reasoning. To address these shortcomings, we propose a reusable approach for rule-based reasoning in this paper. Rules can be defined in a spreadsheet without the need to neither learn a syntax nor implement a single line of code. We evaluate the benefits of our approach in two case studies conducted by Master students as well as a quantitative evaluation.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130906174","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: 3

Self-adaptive Resource Allocation for Continuous Task Offloading in Pervasive Computing 普适计算中连续任务卸载的自适应资源分配

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480400

Sunyanan Choochotkaew, H. Yamaguchi, T. Higashino, Dominik Schäfer, Janick Edinger, C. Becker

{"title":"Self-adaptive Resource Allocation for Continuous Task Offloading in Pervasive Computing","authors":"Sunyanan Choochotkaew, H. Yamaguchi, T. Higashino, Dominik Schäfer, Janick Edinger, C. Becker","doi":"10.1109/PERCOMW.2018.8480400","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480400","url":null,"abstract":"Task offloading has proven its potential in pervasive environments in numerous systems. In particular, code offloading has gained popularity as it allows to spontaneously forward work packages to remote resources. While for discrete tasks there are multiple systems that allow for code offloading already, stream processing has gained less research attention. In this paper, we propose a self-adaptive resource allocation approach for continuous task offloading. First, we tackle the issue of communication overhead by predicting future workload. We minimize not only the number of resource requests but also the scheduling delay. Second, we introduce a learning-based resource allocation mechanism that matches jobs and resource providers. The goal of the allocation mechanism is to assign jobs only to those resources that can finish a job in time. We use a code profiler to analyze the complexity of algorithms and perform machine learning to assign jobs to resources. Our results show that we can reduce the total communication overhead by more than 90 percent and assign jobs successfully with an F-Measure of .863.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130893127","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

Towards collaborative multi-device computing 迈向协作式多设备计算

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480262

Wenxiao Zhang, Huber Flores, P. Hui

{"title":"Towards collaborative multi-device computing","authors":"Wenxiao Zhang, Huber Flores, P. Hui","doi":"10.1109/PERCOMW.2018.8480262","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480262","url":null,"abstract":"Mobile devices (e.g., smartphone, wearable device) are now an essential part of human life as the most effective and convenient communication tools, providing users with rich experience of various services. Besides traditional web-based services, the research community and industry are exploring computation intensive capabilities of mobile devices to seamlessly augment users' cognitive abilities. However, the resource and communication shortages of a single mobile device make it insufficient in providing high quality of experience (QoE), especially in satisfying the real-time and interactive constraints.Recently, considerable research has addressed these problems, and the proposed systems take advantage of collaborative mobile computing which benefits mobile devices in terms of computing capability, battery life, latency, and data usage. In this survey, we pay our attention to collaborative multi-device computation, and discuss the QoE guarantee, user incentives and other challenges that exit in this area. We also study the networking technologies that can be utilized in multi-device collaboration. In the end of the survey, we point out some future research directions in real-time collaborative mobile systems.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134300274","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: 13

A Socio-Technical System Based on Gamification Towards Energy Savings 基于游戏化的节能社会技术体系

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480405

P. Fraternali, F. Cellina, Sergio Luis Herrera Gonzalez, S. Krinidis, C. Pasini, A. Rizzoli, C. Rottondi, D. Tzovaras

引用次数: 11

Pervasive Communities in the Internet of People 互联网中无处不在的社区

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480273

Eemil Lagerspetz, Huber Flores, Niko Mäkitalo, Pan Hui, P. Nurmi, S. Tarkoma, A. Passarella, J. Ott, P. Reichl, M. Conti, M. Fiedler, Jatinder Singh, T. Strufe, T. Hossfeld, Anders Lindgren, D. Quercia

引用次数: 10