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

A Framework to Measure Reliance of Acoustic Latency on Smartphone Status 一个测量声延迟对智能手机状态依赖的框架

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-08 DOI: 10.1109/PERCOMW.2018.8480354

D. V. Le, Jacob W. Kamminga, H. Scholten, P. Havinga

{"title":"A Framework to Measure Reliance of Acoustic Latency on Smartphone Status","authors":"D. V. Le, Jacob W. Kamminga, H. Scholten, P. Havinga","doi":"10.1109/PERCOMW.2018.8480354","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480354","url":null,"abstract":"Audio latency, defined as the time duration when an audio signal travels from the microphone to an app or from an app to the speakers, significantly influences the performance of many mobile sensing applications including acoustic based localization and speech recognition. It is well known within the mobile app development community that audio latencies can be significant (up to hundreds of milliseconds) and vary from smartphone to smartphone and from time to time. Therefore, it is essential to study the causes and effects of the audio latency in smartphones. To the best of our knowledge, there exist mobile apps that can measure audio latency but not the corresponding status of smartphones such as available RAM, CPU loads, battery level, and number of files and folders. In this paper, we are the first to propose a framework that can simultaneously log both the audio latency and the status of smartphones. The proposed framework does not require time synchronization or firmware reprogramming and can run on a standalone device. Since the framework is designed to study the latency causality, the status of smartphones are deliberately and randomly varied as maximum as possible. To evaluate the framework, we present a case study with Android devices. We design and implement a latency app that simultaneously measures the latency and the status of smartphones. The preliminary results show that the latency values have large means (50 – 150 ms) and variances (4–40 ms). The effect of latency can be considerably reduced by just simply subtracting the offset. In order to achieve improved latency prediction that can cope with the variances an advanced regression model would be preferred.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131470277","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

Accuracy of three commercial automatic emotion recognition systems across different individuals and their facial expressions 三种商用自动情绪识别系统对不同个体及其面部表情的准确性

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-08 DOI: 10.1109/PERCOMW.2018.8480127

Damien Dupré, Nicole Andelic, Gawain Morrison, G. McKeown

引用次数: 19

Personalized Online Training for Physical Activity monitoring using weak labels 使用弱标签进行身体活动监测的个性化在线培训

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-08 DOI: 10.1109/PERCOMW.2018.8480292

F. Cruciani, I. Cleland, K. Synnes, J. Hallberg

引用次数: 6

A Context Aware Prototype Application for University Students and Lecturers 面向大学生和讲师的上下文感知原型应用

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-08 DOI: 10.1109/PERCOMW.2018.8480167

Sabiha Nuzhat, Talal Shaikh, Salih Ismail

{"title":"A Context Aware Prototype Application for University Students and Lecturers","authors":"Sabiha Nuzhat, Talal Shaikh, Salih Ismail","doi":"10.1109/PERCOMW.2018.8480167","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480167","url":null,"abstract":"The rise of mobile phone usage across the world has given rise to many context aware applications. To study the effects of context-aware application we have created a prototype application for the main demographics in a University. The prototype provides location based context-awareness in two facets: outside the university campus (outdoor) and inside the university campus (indoor). We have used Wi-Fi fingerprinting technology to achieve indoor positioning. Furthermore, the prototype is connected to Moodle, an online e-learning service via web services to provide course materials to the student based on the user, location (classroom) and time. The students can further interact with their peers spatially for discussions, as their location data is securely shared with their group mates. Our research evaluates the effect of context-awareness for two user groups; the students and the lecturers. The usage of both indoor and outdoor positioning within a single prototype, to provide the location aspect of context in our research, shows 94% acceptance rate between both the user groups.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915567","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: 4

Secure Context-based Pairing for Unprecedented Devices 为前所未有的设备提供基于上下文的安全配对

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480126

Ngu Nguyen, S. Sigg

引用次数: 1

Local emotions - using social media to understand human-environment interaction in cities 本地情感——利用社交媒体了解城市中人与环境的互动

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480364

Niklas Strengell, S. Sigg

{"title":"Local emotions - using social media to understand human-environment interaction in cities","authors":"Niklas Strengell, S. Sigg","doi":"10.1109/PERCOMW.2018.8480364","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480364","url":null,"abstract":"Cities have become the most common living environment for humans. With this rising urbanization, urban design has become vital for these growing cities. While measuring objective data like traffic congestion or air quality is important, it does not tell the whole story of how people live in the cities or how cities should be developed to make them more livable. In future for a true smart city a more humane component is needed to understand how the population of cities actually interact with and feel about their surroundings. Surveys are a great and a necessary tool for this and they are already being used in the design process. However, they require effort and and a lot of silent information can be missed. The surveying process also doesn't happen in real time. We suggest that social media data could be used to gather more information about human- environment interaction in cities and compliment the surveys. We show a working prototype of a tool that creates an emotional map of a city by mining social media data for sentiments and heatmapping them. This kind of method could prove to be an useful tool for urban designers, who could take advantage of the visual intuition of humans and see instantly where and how emotional hotspots arise. It could also be of interest for emotion researchers, who could get data on what it really means to be happy for a human being - for example eating an ice cream at the beach - instead of only linking conceptual words (such as happy) to external stimuli (such as smiling).","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134329295","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

Representation Learning for Sensor-based Device Pairing 基于传感器的设备配对表示学习

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480412

Ngu Nguyen, Nico Jähne-Raden, U. Kulau, S. Sigg

引用次数: 0

Trustworthy Sensing in an Untrusted IoT Environment 不可信物联网环境下的可信感知

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480384

Mamadou H. Diallo, Nisha Panwar, S. Mehrotra, A. A. Sani

引用次数: 3

Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation 从合理的时间分配模型预测上下文对应用程序使用的影响

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480308

R. Edge, Dominic Mussack, Matthias Böhmer, Paul Schrater

{"title":"Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation","authors":"R. Edge, Dominic Mussack, Matthias Böhmer, Paul Schrater","doi":"10.1109/PERCOMW.2018.8480308","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480308","url":null,"abstract":"Mobile devices have proven to be transformative tools that help users perform a variety of everyday tasks. However, they also have tremendous potential to disrupt productive and desired time allocation, facilitating time-squandering through self interruptions of workflow and undesired task switching through distracting apps. Existing research has identified a variety of context variables which help predict the next app selected, but seldom give treatment to the pattern of app usage durations essential to understanding time allocation. Here we take a psychological computing approach to identify the key environmental factors that increase risk of early termination through unwanted switching. Using a task foraging model for time allocation, we construct an integrated measure of the background factors increasing switching temptation, and show that these can be converted into a computable measure of decision context that strongly impacts app duration. The foraging model gives new insight into the structural factors that promote task persistence and predict switch temptations, and suggests new ways to design productive environments.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666542","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

User Authentication based on Personal Image Experiences 基于个人形象体验的用户认证

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-10-02 DOI: 10.1109/PERCOMW.2018.8480087

Ngu Nguyen, S. Sigg

引用次数: 0