2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第8页

Decoupling Screen Size and Gesture Size for Wrist Worn Devices 腕式设备的屏幕尺寸和手势尺寸解耦

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480406

Michael D. Jones, Kevin Seppi, Jared Forsyth, Zann Anderson

引用次数: 0

CrODA-gator: An Open Access CrowdSourcing Platform as a Service CrODA-gator:一个开放获取的众包平台即服务

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480231

Michalis Massalas, Andreas Konstantinidis, A. Achilleos, Christos Markides, G. A. Papadopoulos

{"title":"CrODA-gator: An Open Access CrowdSourcing Platform as a Service","authors":"Michalis Massalas, Andreas Konstantinidis, A. Achilleos, Christos Markides, G. A. Papadopoulos","doi":"10.1109/PERCOMW.2018.8480231","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480231","url":null,"abstract":"The huge increase of mobile devices and the advancements of their sensing and computing capabilities have made the mobile crowd a real-time opportunistic data generator. Leveraging crowdsourced data creates new opportunities and challenges in many computing domains. As a result extensible, scalable and inter-operable cloud-based platforms have been implemented to simplify management and visual mapping of the large volume of data to meaningful representations, which can be then used for the development of novel applications. Still, to the authors best knowledge, these platforms do not offer direct open access to cloud-based crowdsourcing service(s). In this paper, “CrODA-gator”, an Open Access Crowdsourcing Platform as a Service, is introduced that follows a scalable and extensible architecture, which offers public open access to the platform’s features for direct use by data contributors and application developers. This is a key attribute for the uptake of such a platform. Finally, an experimental evaluation is conducted to support the design choices, providing qualitative evidence on the expected performance of the platform’s mechanisms.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"82 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":"123848413","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: 0

Where Am I? Comparing CNN and LSTM for Location Classification in Egocentric Videos 我在哪里?比较CNN和LSTM在自中心视频中的位置分类

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480258

G. Kapidis, R. Poppe, E. V. Dam, R. Veltkamp, L. Noldus

{"title":"Where Am I? Comparing CNN and LSTM for Location Classification in Egocentric Videos","authors":"G. Kapidis, R. Poppe, E. V. Dam, R. Veltkamp, L. Noldus","doi":"10.1109/PERCOMW.2018.8480258","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480258","url":null,"abstract":"Egocentric vision is a technology that exists in a variety of fields such as life-logging, sports recording and robot navigation. Plenty of research work focuses on location detection and activity recognition, with applications in the area of Ambient Assisted Living. The basis of this work is the idea that locations can be characterized by the presence of specific objects. Our objective is the recognition of locations in egocentric videos that mainly consist of indoor house scenes. We perform an extensive comparison between Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) based classification methods that aim at finding the in-house location by classifying the detected objects which are extracted with a state-of-the-art object detector. We show that location classification is affected by the quality of the detected objects, i.e., the false detections among the correct ones in a series of frames, but this effect can be greatly limited by taking into account the temporal structure of the information by using LSTM. Finally, we argue about the potential for useful real-world applications.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"242 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":"124664816","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: 7

Demo: Talk2Me - A Framework for D2D Augmented Reality Social Network 演示:Talk2Me - D2D增强现实社交网络框架

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480144

Jiayu Shu, Sokol Kosta, Rui Zheng, P. Hui

引用次数: 0

Combining Crowdsourcing and Crowdsensing to Infer the Spatial Context 结合众包与众感，推断空间脉络

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480312

M. Zeni, Enrico Bignotti, Fausto Giunchiglia

引用次数: 1

Correlation-Based Pre-Filtering for Context-Aware Recommendation 基于关联的上下文感知推荐预过滤

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480278

Z. Ferdousi, Dario Colazzo, E. Negre

引用次数: 6

Demo Abstract: Deep Learning on an Elastic Node for the Internet of Things 摘要:物联网弹性节点上的深度学习

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480160

Alwyn Burger, Gregor Schiele

引用次数: 13

Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi CSI 基于Wi-Fi CSI的位置无关手势识别的初步研究

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480253

Kazuya Ohara, T. Maekawa, S. Sigg, M. Youssef

引用次数: 5

ParkForU: A Dynamic Parking-Matching and Price-Regulator Crowdsourcing Algorithm for Mobile Applications ParkForU:移动应用的动态停车匹配和价格调节众包算法

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480321

Ellen Mitsopoulou, V. Kalogeraki

{"title":"ParkForU: A Dynamic Parking-Matching and Price-Regulator Crowdsourcing Algorithm for Mobile Applications","authors":"Ellen Mitsopoulou, V. Kalogeraki","doi":"10.1109/PERCOMW.2018.8480321","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480321","url":null,"abstract":"Large metropolitan cities are getting busier and busier everyday. Overpopulation has caused parking related problems which in turn have severe external effects such as traffic congestion, air-pollution, social anxiety and inefficient resource distribution. To alleviate those effects infrastructure-based parking information systems have been proposed. However, they incur extreme costs due to extensive hardware installations. A promising alternative, that has shown great interest in recent years, is the use of crowdsourcing using mobile phones. In this work we propose a crowdsourcing system that aims to find the available and most suitable parking options for users in a smart city. We have developed ParkForU, a parking-matching and price-regulator algorithm. ParkForU, unlike existing approaches where a large unfiltered number of parking possibilities is given to the users, provides the best matched parking results while at the same time provides an effective way for dynamically re-adjusting the parking providers’ price. Through extensive simulations, we show how ParkForU performs and benefits both users and parking providers.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"138 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":"133605761","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

A Road Condition Service Based on a Collaborative Mobile Sensing Approach 基于协同移动感知方法的路况服务

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480346

J. Soares, Nuno Silva, Vaibhav Shah, Helena Rodrigues

引用次数: 5