2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)最新文献_第2页

SAMAF: Situation aware mobile apps framework SAMAF:情境感知移动应用框架

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7133988

Feichen Shen, Yugyung Lee

引用次数: 5

Non-invasive detection of medication adherence using a digital smart necklace 使用数字智能项链对药物依从性进行无创检测

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134061

H. Kalantarian, N. Alshurafa, Tuan Le, M. Sarrafzadeh

引用次数: 28

Mobile usage patterns and privacy implications 手机使用模式和隐私影响

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134081

Michael Mitchell, Ratnesh Patidar, Manik Saini, Parteek Singh, An-I Wang, P. Reiher

引用次数: 1

Sound collection and visualization system enabled participatory and opportunistic sensing approaches 声音收集和可视化系统使参与性和机会感测方法成为可能

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134069

Sunao Hara, M. Abe, N. Sonehara

{"title":"Sound collection and visualization system enabled participatory and opportunistic sensing approaches","authors":"Sunao Hara, M. Abe, N. Sonehara","doi":"10.1109/PERCOMW.2015.7134069","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134069","url":null,"abstract":"This paper presents a sound collection system to visualize environmental sounds that are collected using a crowd-sourcing approach. An analysis of physical features is generally used to analyze sound properties; however, human beings not only analyze but also emotionally connect to sounds. If we want to visualize the sounds according to the characteristics of the listener, we need to collect not only the raw sound, but also the subjective feelings associated with them. For this purpose, we developed a sound collection system using a crowdsourcing approach to collect physical sounds, their statistics, and subjective evaluations simultaneously. We then conducted a sound collection experiment using the developed system on ten participants. We collected 6,257 samples of equivalent loudness levels and their locations, and 516 samples of sounds and their locations. Subjective evaluations by the participants are also included in the data. Next, we tried to visualize the sound on a map. The loudness levels are visualized as a color map and the sounds are visualized as icons which indicate the sound type. Finally, we conducted a discrimination experiment on the sound to implement a function of automatic conversion from sounds to appropriate icons. The classifier is trained on the basis of the GMM-UBM (Gaussian Mixture Model and Universal Background Model) method. Experimental results show that the F-measure is 0.52 and the AUC is 0.79.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133726345","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: 2

Detecting energy leaks in Android app with POEM 用POEM检测安卓应用中的能量泄漏

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134075

Alan Ferrari, Dario Gallucci, D. Puccinelli, S. Giordano

引用次数: 21

On quality of event localization from social network feeds 从社交网络提要看事件定位的质量

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7133997

P. Giridhar, T. Abdelzaher, Jemin George, Lance M. Kaplan

{"title":"On quality of event localization from social network feeds","authors":"P. Giridhar, T. Abdelzaher, Jemin George, Lance M. Kaplan","doi":"10.1109/PERCOMW.2015.7133997","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7133997","url":null,"abstract":"Social networks, such as Twitter, carry important information on ongoing events and as such can be viewed as networks of sensors that monitor and report events in the physical world. In this paper, we concern ourselves with the challenge of event localization from Twitter feeds. We explore the quality of information that can be derived either directly or indirectly from microblog entries regarding locations of ongoing events. Contrary to prior work that used Twitter to map regions of large-footprint events, or derived coarse-grained location information, in this paper, we are interested in point-events, such as building fires or car accidents, and aim to pin-point them down to a street address. An algorithm is presented that identifies distinct event signatures in the blogosphere, clusters microblogs based on events they describe, and analyzes the resulting clusters for fine-grained location indicators. An exact event location is then derived by fusing these indicators. To evaluate the quality of derived location information, we use road-traffic-related Twitter feeds from 3 major cities in California and compare automatic event localization within our service to manually obtained ground truth data. Results show a great correspondence between our automatically determined locations and ground-truth.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117085543","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: 25

A collaborative TV-Internet application model to enrich TV viewing experience in a pervasive way 电视-互联网协同应用模式，以普适方式丰富电视观看体验

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134010

C. Ferraz, D. V. D. Silva, Jancleidsson S. da Silva

{"title":"A collaborative TV-Internet application model to enrich TV viewing experience in a pervasive way","authors":"C. Ferraz, D. V. D. Silva, Jancleidsson S. da Silva","doi":"10.1109/PERCOMW.2015.7134010","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134010","url":null,"abstract":"This paper presents an application model for augmenting TV viewing experience. The augmentation consists of additional media resources, which are linked to the Web according to the user profile and to TV metadata. Instead of asking the user for such data, a distributed software system captures them non-intrusively, processes the user and TV program context, and automatically searches for and delivers the context-aware resources to the viewer either on the TV screen or on a second screen. The use of TV metadata as context data is a remarkable feature in this work. Such metadata are carried in the MPEG-2 Transport Stream, which is part of the major digital TV systems in the world. This work deals with problems such as inconsistency of TV metadata, and ineffectiveness of Web search, which could frustrate the viewer's enriched experience. The research indicates that context-aware applications in the television domain should strongly take into account TV metadata captured opportunistically from broadcast streams, in addition to traditional context data, such as location, temperature, device capabilities, among others. The solutions presented in this paper point to a minimum-effort by the TV user, enabling a more useful, easier and more attractive Integrated TV-Internet viewing experience.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129491896","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: 1

Detecting self-harming activities with wearable devices 使用可穿戴设备检测自残行为

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134105

L. Malott, Pratool Bharti, Nicholas Hilbert, G. Gopalakrishna, S. Chellappan

引用次数: 10

A holistic smart home demonstrator for anomaly detection and response 用于异常检测和响应的整体智能家居演示器

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7134058

J. Lundström, W. O. D. Morais, M. Cooney

{"title":"A holistic smart home demonstrator for anomaly detection and response","authors":"J. Lundström, W. O. D. Morais, M. Cooney","doi":"10.1109/PERCOMW.2015.7134058","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7134058","url":null,"abstract":"Applying machine learning methods in scenarios involving smart homes is a complex task. The many possible variations of sensors, feature representations, machine learning algorithms, middle-ware architectures, reasoning/decision schemes, and interactive strategies make research and development tasks non-trivial to solve. In this paper, the use of a portable, flexible and holistic smart home demonstrator is proposed to facilitate iterative development and the acquisition of feedback when testing in regard to the above-mentioned issues. Specifically, the focus in this paper is on scenarios involving anomaly detection and response. First a model for anomaly detection is trained with simulated data representing a priori knowledge pertaining to a person living in an apartment. Then a reasoning mechanism uses the trained model to infer and plan a reaction to deviating activities. Reactions are carried out by a mobile interactive robot to investigate if a detected anomaly constitutes a true emergency. The implemented demonstrator was able to detect and respond properly in 18 of 20 trials featuring normal and deviating activity patterns, suggesting the feasibility of the proposed approach for such scenarios.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979124","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

Evaluation of user feedback in smart home for situational context identification 基于情境情境识别的智能家居用户反馈评估

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) Pub Date : 2015-03-23 DOI: 10.1109/PERCOMW.2015.7133987

A. Alhamoud, Pei Xu, F. Englert, Philipp Scholl, T. Nguyen, Doreen Böhnstedt, R. Steinmetz

{"title":"Evaluation of user feedback in smart home for situational context identification","authors":"A. Alhamoud, Pei Xu, F. Englert, Philipp Scholl, T. Nguyen, Doreen Böhnstedt, R. Steinmetz","doi":"10.1109/PERCOMW.2015.7133987","DOIUrl":"https://doi.org/10.1109/PERCOMW.2015.7133987","url":null,"abstract":"In the recent years, smart home projects started to gain great attention from academic as well as industrial communities. However, an essential challenge that all smart home ideas face is the provision of the ground truth i.e. the labeled training data required to train the machine learning algorithms which achieve the smartness of the smart home. Another challenging task is to evaluate the correctness of the collected ground truth so that we can be sure that we train the system with correct data which represents the reality. In order to build a smart home which is interactive and adaptable to the behavior and preferences of its inhabitants, we need to have comprehensive information about the everyday behavior and preferences of the inhabitants of the smart home. This comprehensive information which needs to be collected represents the ground truth in the context of our smart home research. Many technologies have been utilized in order to collect this information. In this paper, we present our approach for collecting the ground truth in smart homes in a nonintrusive way. More importantly, we present our methodology for evaluating the correctness of the collected ground truth.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126790476","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: 5