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Improving Motion-based Activity Recognition with Ego-centric Vision 以自我为中心的视觉改进基于运动的活动识别
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480334
Alexander Diete, T. Sztyler, Lydia Weiland, H. Stuckenschmidt
{"title":"Improving Motion-based Activity Recognition with Ego-centric Vision","authors":"Alexander Diete, T. Sztyler, Lydia Weiland, H. Stuckenschmidt","doi":"10.1109/PERCOMW.2018.8480334","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480334","url":null,"abstract":"Human activity recognition using wearable computers is an active area of research in pervasive computing. Existing works mainly focus on the recognition of physical activities or so called activities of daily living by relying on inertial or interaction sensors. A main issue of those studies is that they often focus on critical applications like health care but without any evidence that the monitored activities really took place. In our work, we aim to overcome this limitation and present a multi-modal egocentricbased activity recognition approach which is able to recognize the critical objects. As it is unfeasible to expect always a high quality camera view, we enrich the vision features with inertial sensor data that represents the users' arm movement. This enables us to compensate the weaknesses of the respective sensors. We present first results of our ongoing work on this topic.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"18 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":"125455512","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: 9
URQUELL: Using wrist-based gestural interaction to discover POIs in urban environments URQUELL:使用基于手腕的手势交互来发现城市环境中的点
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480136
Andreas Komninos, Stylianos Sarakinos, Lydia Marini, J. Garofalakis
{"title":"URQUELL: Using wrist-based gestural interaction to discover POIs in urban environments","authors":"Andreas Komninos, Stylianos Sarakinos, Lydia Marini, J. Garofalakis","doi":"10.1109/PERCOMW.2018.8480136","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480136","url":null,"abstract":"In this paper, we discuss the implementation of a prototype application (URQUELL) for the opportunistic discovery of POIs in a urban environment, and the multimodal, non-visual interaction with the system to retrieve details about these. The application works by pointing a smartphone or a wrist-worn sensor kit towards a physical venue location of interest. By retrieving information about the venue pointed at over various APIs, the application presents these to the users via high quality text-to-speech synthesis, negating the need to interact with the smartphone, which can be kept in a user's pocket at all times. Here, we discuss the implementation details of our prototype and outline future research directions.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"21 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":"123825284","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
Secure IoT for a Pervasive Platform 普及平台的安全物联网
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480250
Stéphanie Chollet, Laurent Pion, N. Barbot, Clement Michel
{"title":"Secure IoT for a Pervasive Platform","authors":"Stéphanie Chollet, Laurent Pion, N. Barbot, Clement Michel","doi":"10.1109/PERCOMW.2018.8480250","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480250","url":null,"abstract":"Nowadays, the proliferation of smart, communication-enable devices is opening up many new opportunities of pervasive applications. A major requirement of pervasive applications is to be secured. The complexity to secure pervasive systems is to address a end-to-end security level: from the device to the services according to the entire life cycle of devices, applications and platform. In this article, we propose a solution combining both hardware and software elements to secure communications between devices and pervasive platform based on certificates issued from a Public Key Infrastructure. Our solution is implemented and validated with a real device extended by a secure element and our own Public Key Infrastructure.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"2 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":"117067086","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
IoT Service Store: A Web-based System for Privacy-aware IoT Service Discovery and Interaction 物联网服务商店:基于网络的隐私感知物联网服务发现和交互系统
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480260
Hosub Lee, Richard Chow, M. Haghighat, Heather M. Patterson, A. Kobsa
{"title":"IoT Service Store: A Web-based System for Privacy-aware IoT Service Discovery and Interaction","authors":"Hosub Lee, Richard Chow, M. Haghighat, Heather M. Patterson, A. Kobsa","doi":"10.1109/PERCOMW.2018.8480260","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480260","url":null,"abstract":"Internet of Things (IoT) services collect and analyze sensor data to provide users with intelligent functionality tailored to their needs. However, users are often unaware of privacy risks relating to sensor data collection and the inferences possible from this data. Even if aware of the data collection and possible inferences, users lack ways to manage the collection, processing, and transmission of the data. To address this problem, we designed and implemented a novel web-based system called IoT Service Store (ISS) that allows users to easily browse nearby IoT services, understand the privacy implications of these IoT services, and control the collection and usage of sensor data. To better inform users about the potential privacy risks in using IoT services, ISS displays detailed information on what personal information might be inferred from the sensor data being collected. ISS also allows each user to give a rating or to view other users’ ratings regarding the perceived utility-privacy tradeoff for each IoT service. ISS is designed to communicate with IoT services to modify those services’ data collection and usage practices, according to a user’s privacy preferences. Using the preferred privacy settings in the proposed system, users will be more confident in their decisions of whether to subscribe to IoT services and less concerned with privacy risks in using the services.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"16 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":"125575314","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: 12
Discovery of Causal Relations in the Challenging Behaviour of People with Dementia 发现痴呆症患者挑战性行为的因果关系
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480263
Kristina Yordanova, Sebastian Bader, Sarah Weschke, Frank Krüger, Judith Henf, S. Teipel, T. Kirste
{"title":"Discovery of Causal Relations in the Challenging Behaviour of People with Dementia","authors":"Kristina Yordanova, Sebastian Bader, Sarah Weschke, Frank Krüger, Judith Henf, S. Teipel, T. Kirste","doi":"10.1109/PERCOMW.2018.8480263","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480263","url":null,"abstract":"With the increase of elderly population, the percent- age of people suffering from dementia also increases. Typically, patients with dementia are cared for at home by family members. The task of caregiving is associated with significant psychological and physical stress that affects both the caregiver and the person with dementia. One solution to improving the task of caregiving is to provide an assistive system that is able to automatically recognise when challenging behaviour is exhibited and to provide suggestions for appropriate intervention strategies. One of the challenges such system has, is to predict future challenging behaviour based on the currently observed behaviour.To address this problem, we propose a method for discovering potential causal relations between challenging behaviours. We analyse the annotation of a sensor dataset collected in two nursing homes for a period of 4 weeks. The preliminary results show that our ap- proach is able to discover relations between different challenging behaviours. The discovered relations do not contradict existing findings on the frequency correlations between certain groups of challenging behaviours.","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":"125904478","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
Towards Systematic Benchmarking of Activity Recognition Algorithms 活动识别算法的系统基准测试
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480409
T. Sztyler, Christian Meilicke, H. Stuckenschmidt
{"title":"Towards Systematic Benchmarking of Activity Recognition Algorithms","authors":"T. Sztyler, Christian Meilicke, H. Stuckenschmidt","doi":"10.1109/PERCOMW.2018.8480409","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480409","url":null,"abstract":"In this paper we propose a benchmarking frame-work for evaluating activity recognition methods. We use an ontology for describing activity recognition datasets on the meta-level and propose a fine-grained annotation scheme for activity recognition datasets. Given a method that implements a defined interface, an evaluation client can be used to automatically run experiments on annotated datasets. Our framework helps to find relevant datasets and makes results reproducible by fixing concrete experimental settings. We show how to use the framework and report about a preliminary evaluation experiment.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"4 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":"128507636","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
Introducing a flexible rewarding platform for mobile crowd-sensing applications 为移动人群传感应用引入灵活的奖励平台
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480323
L. Klopfenstein, S. Delpriori, A. Aldini, A. Bogliolo
{"title":"Introducing a flexible rewarding platform for mobile crowd-sensing applications","authors":"L. Klopfenstein, S. Delpriori, A. Aldini, A. Bogliolo","doi":"10.1109/PERCOMW.2018.8480323","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480323","url":null,"abstract":"Over the course of the last years, a growing number of Mobile Crowd-Sensing (MCS) applications have been developed to exploit the broad availability of sensor-equipped mobile devices for large scale monitoring and data gathering tasks. MCS systems often pursue goals oriented towards the common good, intrinsically generating social value through the participation of volunteers to a shared cause. They benefit from the participation of large numbers of people and thus often rely on a variety of incentive mechanisms (either intrinsic or extrinsic) to motivate users. External stakeholders may also be interested in contributing to the common cause without actively taking part in the crowd-sensing process. This work introduces an inclusive rewarding platform for MCS applications that put different crowd-sensing systems, volunteers, and third-party stakeholders in communication in order to trigger network effects and positive externalities that can contribute to the common good. A simple general purpose rewarding protocol, based on the exchange of anonymous vouchers, is proposed and discussed.","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":"131240794","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
Toward Practical Activity Recognition: Recognizing Complex Activities with Wide Variations 走向实践活动识别:识别具有广泛变化的复杂活动
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480368
Rabih Younes, Mark T. Jones, Thomas L. Martin
{"title":"Toward Practical Activity Recognition: Recognizing Complex Activities with Wide Variations","authors":"Rabih Younes, Mark T. Jones, Thomas L. Martin","doi":"10.1109/PERCOMW.2018.8480368","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480368","url":null,"abstract":"Most activity classifiers focus on recognizing application-specific activities that are mostly performed in a scripted manner, where there is very little room for variation within the activity. These classifiers are mainly good at recognizing short scripted activities that are performed in a specific way. In reality, especially when considering daily activities, humans perform complex activities in a variety of ways. In this work, we aim to make activity recognition more practical by proposing a novel approach to recognize complex heterogeneous activities that could be performed in a wide variety of ways. We collect data from 15 subjects performing 8 complex activities and test our approach while analyzing it from different aspects. The results show the validity of our approach. They also show how it performs better than the state-of-the-art approaches that tried to recognize the same activities in a more controlled environment.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"7 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":"121208069","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
Preliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution 信号超分辨率细粒度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.2018.8480357
Naoya Yoshimura, T. Maekawa, Daichi Amagata, T. Hara
{"title":"Preliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution","authors":"Naoya Yoshimura, T. Maekawa, Daichi Amagata, T. Hara","doi":"10.1109/PERCOMW.2018.8480357","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480357","url":null,"abstract":"This study investigates the feasibility of fine-grained gesture recognition using upsampled acceleration sensor data. Because the maximum sampling rate of smartwatch devices is limited by operating systems, we simulate high resolution acceleration data using a neural network from low resolution signals in order to capture distinguishing features of gestures containing high frequency components.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"33 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":"127625391","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
Enhancing Veracity of IoT Generated Big Data in Decision Making 提高物联网大数据在决策中的准确性
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2018-03-19 DOI: 10.1109/PERCOMW.2018.8480371
Xiaoli Liu, S. Tamminen, Xiang Su, Pekka Siirtola, J. Röning, J. Riekki, Jussi Kiljander, J. Soininen
{"title":"Enhancing Veracity of IoT Generated Big Data in Decision Making","authors":"Xiaoli Liu, S. Tamminen, Xiang Su, Pekka Siirtola, J. Röning, J. Riekki, Jussi Kiljander, J. Soininen","doi":"10.1109/PERCOMW.2018.8480371","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480371","url":null,"abstract":"Data are crucial to support decision making. If data have low veracity, decisions are not likely to be sound. Internet of Things (IoT) generates big data with inaccuracy, inconsistency, incompleteness, deception, and model approximation. Enhancing data veracity is important to address these challenges. In this article, we summarize the key characteristics and challenges of IoT, which influence data processing and decision making. We review the landscape of measuring and enhancing data veracity and mining uncertain data streams. Moreover, we propose five recommendations for future development of veracious big IoT data analytics that are related to the heterogeneous and distributed nature of IoT data, autonomous decision-making, context-aware and domain-optimized methodologies, data cleaning and processing techniques for IoT edge devices, and privacy preserving, personalized, and secure data management.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"63 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":"117025062","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
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