2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第10页

Lifelong Learning in Sensor-Based Human Activity Recognition 基于传感器的人类活动识别的终身学习

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730783

Juan Ye

{"title":"Lifelong Learning in Sensor-Based Human Activity Recognition","authors":"Juan Ye","doi":"10.1109/PERCOMW.2019.8730783","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730783","url":null,"abstract":"Sensor-based human activity recognition is to recognise users' current activities from a collection of sensor data in real time. This ability presents an unprecedented opportunity to many applications, and ambient assisted living (AAL) for elderly care is one of the most exciting examples. For example, from the meal preparation activities, we can derive the user's diet routine and detect any anomaly or decline in physical or cognitive condition, leading to immediate, appropriate change in their care plan. With the rapidly increasing ageing population and overstretched strains on our healthcare system, there is a rapidly growing need for industry in AAL. However, the complexity in real-world deployment is significantly challenging current sensor-based human activity recognition, including the inherent imperfect nature of sensing technologies, constant change in activity routines, and unpredictability of situations or events occurring in an environment. Such complexity can result in decreased accuracies in recognising activities over time and further a degradation of the performance of an AAL system. The state-of-the-art methodology in studying human activity recognition is cultivated from short-term lab or testbed experimentation, i.e., relying on well-annotated sensor data and assuming no change in activity models, which is no longer suitable for long-term, large-scale, real-world deployment. This creates a need for an activity recognition system capable of embedding the means of automatic adaptation to changes, i.e., lifelong learning. This talk will discuss new challenges and opportunities in lifelong learning in human activity recognition, with particular focus on transfer learning on activity labels across heterogeneous datasets.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130238808","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 Novel Input Set for LSTM-Based Transport Mode Detection 一种新的基于lstm的传输模式检测输入集

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730799

Güven Aşçı, M. A. Güvensan

引用次数: 15

Human Activity Recognition in Smart-Home Environments for Health-Care Applications 用于医疗保健应用的智能家居环境中的人类活动识别

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730719

Gabriele Civitarese

{"title":"Human Activity Recognition in Smart-Home Environments for Health-Care Applications","authors":"Gabriele Civitarese","doi":"10.1109/PERCOMW.2019.8730719","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730719","url":null,"abstract":"With a growing population of elderly people, the number of subjects at risk of cognitive disorders is rapidly increasing. Many research groups are studying pervasive solutions to continuously and unobtrusively monitor fragile subjects in their homes. Clinicians are interested in monitoring several behavioral aspects for a wide variety of applications: early diagnosis, emergency monitoring, assessment of cognitive disorders, etcetera. Among the several behavioral aspects of interest, anomalous behaviors while performing activities of daily living (ADLs) are of great importance. Indeed, these anomalies can be indicators of cognitive decline. The recognition of such abnormal behaviors relies on robust and accurate ADLs recognition systems. Moreover, in order to enable unobtrusive and privacy-aware monitoring, environmental sensors in charge of unobtrusively capturing the interaction of the subject with the home infrastructure should be preferred. This talk presents our latest research efforts on these topics. In particular, the talk will cover: a) novel unobtrusive sensing solutions, b) hybrid ADLs recognition methods and c) techniques to detect abnormal behaviors at a fine granularity. We will discuss those challenges reporting our experience and identifying critical aspects which still need to be investigated.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128489239","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

Probabilistic Analysis of Abnormal Behaviour Detection in Activities of Daily Living 日常生活活动异常行为检测的概率分析

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730682

M. Garcia-Constantino, A. Konios, Idongesit Ekerete, S. Christopoulos, Colin Shewell, C. Nugent, Gareth Morrison

{"title":"Probabilistic Analysis of Abnormal Behaviour Detection in Activities of Daily Living","authors":"M. Garcia-Constantino, A. Konios, Idongesit Ekerete, S. Christopoulos, Colin Shewell, C. Nugent, Gareth Morrison","doi":"10.1109/PERCOMW.2019.8730682","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730682","url":null,"abstract":"This paper presents a probabilistic approach for the identification of abnormal behaviour in Activities of Daily Living (ADLs) from sensor data collected from 30 participants. The ADLs considered are: (i) preparing and drinking tea, and (ii) preparing and drinking coffee. Abnormal behaviour identified in the context of these activities can be an indicator of a progressive health problem or the occurrence of a hazardous incident. The approach presented considers the temporal aspect of the sequences of actions that are part of each ADL and that vary between participants. The average and standard deviation for the durations of each action were calculated to define an average time and a range in which a behaviour could be considered as normal for each stage and activity. The Cumulative Distribution Function (CDF) was used to obtain the probabilities of abnormal behaviours related to the early and late completion of activities and stages within an activity. The data analysis show that CDF can provide accurate and reliable results regarding the presence of abnormal behaviour in stages and activities that last over a minute. Finally, this approach could be used to train machine learning algorithms for the abnormal behaviour detection.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124536112","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

Towards a Sustainable Ecosystem of Intelligent Transportation Systems 迈向可持续的智能交通系统生态系统

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730669

Lewis Tseng, Liwen Wong

{"title":"Towards a Sustainable Ecosystem of Intelligent Transportation Systems","authors":"Lewis Tseng, Liwen Wong","doi":"10.1109/PERCOMW.2019.8730669","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730669","url":null,"abstract":"It is difficult to overstate how large a role Intelligent Transportation Systems (ITS) technology has played in advancing safety, mobility, and productivity in our daily lives. ITS encompasses a broad range of technologies, including information and communication technologies, transportation and communication infrastructures, connected vehicles, and emerging technologies such as Internet-of-Things (IoT). It has been studied extensively in many different disciplines, including transportation, communication, database and management communities. Unfortunately, there are still many unsolved challenges that hinder the large deployment of advanced ITS systems. Recent studies have proposed using Blockchain, an emerging technology that enables decentralized coordination, to address inherent challenges in ITS such as security and scalability. However, these studies did not address a key question: how can we achieve a sustainable ITS ecosystem? This paper presents our preliminary study where we first point out the limitations of prior Blockchain-based ITS systems and then outline an architecture to support a sustainable ITS ecosystem. Our main goal is to stimulate further effort and cross-disciplinary collaboration by providing guidance and reference for future studies.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115791500","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

PerPersuasion'19: PerPersuasion'19 – 1st International Workshop on Pervasive Persuasive System for Behavior Change - Program PerPersuasion'19: PerPersuasion'19 -第一届行为改变的普遍说服系统国际研讨会-程序

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/percomw.2019.8730760

引用次数: 0

Wrist-Worn Capacitive Sensor for Activity and Physical Collaboration Recognition 用于活动和物理协作识别的腕带电容式传感器

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730581

Sizhen Bian, V. F. Rey, Junaid Younas, P. Lukowicz

{"title":"Wrist-Worn Capacitive Sensor for Activity and Physical Collaboration Recognition","authors":"Sizhen Bian, V. F. Rey, Junaid Younas, P. Lukowicz","doi":"10.1109/PERCOMW.2019.8730581","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730581","url":null,"abstract":"Given the wide and increasing popularity of smart-watches, the wrist is a compelling location for placing sensors. On the other hand, only specific information such as hand/arm motions and selected physiological signals are readily available at the wrist. In this paper, we explore a novel wrist-worn sensing approach that allows information not typically associated with the wrist or the arm to be acquired by exploring the ubiquitous near-field electric phenomena. We first introduce the design of an ultra-low power near-field electric field sensing prototype, which is able to sense $uV$ level potential variation caused by disturbance or movement of the human body in an environment. Then we demonstrate how our prototype can detect motions of various body parts beyond the wrist, such as touch and proximity between users and objects. Finally, a use case related to a collaborative work by two people is recorded by deploying our prototypes both at surrounding objects and on wrists, presenting the feasibility of collaborative work monitoring by sensing the variation of the near field electric field.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127072396","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: 16

Anatomy and Deployment of Robust AI-Centric Indoor Positioning System 鲁棒ai中心室内定位系统的剖析与部署

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730798

Yiannis Gkoufas, S. Braghin

{"title":"Anatomy and Deployment of Robust AI-Centric Indoor Positioning System","authors":"Yiannis Gkoufas, S. Braghin","doi":"10.1109/PERCOMW.2019.8730798","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730798","url":null,"abstract":"Indoor Positioning Systems are gaining market momentum, mainly due to the significant reduction of sensor cost (on smartphones or standalone) and leveraging standardization of related technology. Among various alternatives for accurate and cost-effective Indoor Positioning System, positioning based on the Magnetic Field has proven popular, as it does not require specialized infrastructure. Related experimental results have demonstrated good positioning accuracy. However, when transitioned to production deployments, these systems exhibit serious drawbacks to make them practical: a) accuracy fluctuates significantly across smartphone models and configurations and b) costly continuous manual fingerprinting of the area is required. The developed Indoor Positioning System Copernicus is a self-learning, adaptive system that is shown to exhibit improved accuracy across different smartphone models. Copernicus leverages a minimal deployment of Bluetooth Low Energy Beacons to infer the trips of users, learn and eventually build tailored Magnetic Maps for every smartphone model for the specific indoor area. In a practical deployment, after each trip execution by the users we can observe an increase in the accuracy of positioning.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125444492","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

Robust Health Score Prediction from Pyro-Sensor Activity Data based on Greedy Feature Selection 基于贪婪特征选择的热传感器活动数据鲁棒健康评分预测

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/PERCOMW.2019.8730809

M. Shimosaka, Qiyang Zhang, Kazunari Takeichi

引用次数: 0

UNAGI'19 - Workshop on UNmanned aerial vehicle Applications in the Smart City: from Guidance technology to enhanced system Interaction - Welcome and Committees UNAGI'19 -无人机在智慧城市中的应用研讨会:从引导技术到增强系统交互-欢迎和委员会

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI: 10.1109/percomw.2019.8730748

A. Bernardos, Jesús García, Hideo Saito, P. Marti

引用次数: 1