2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops最新文献

Designing a mobile health tool for preterm infant wellness 为早产儿健康设计一个移动保健工具

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248717

Karen P. Tang, Sen H. Hirano, K. Cheng, Gillian R. Hayes

引用次数: 3

Designing a peer-facilitated self-management mobile application: A user-centred approach 设计一个对等便利的自我管理移动应用程序:以用户为中心的方法

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248707

Salys Sultan, P. Mohan

引用次数: 7

Persuading older adults to socialize and exercise through ambient games 说服老年人通过环境游戏进行社交和锻炼

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248704

R. Cornejo, D. Hernández, J. Favela, M. Tentori, S. Ochoa

引用次数: 26

Persuasive wearable technology design for health and wellness 有说服力的可穿戴技术设计的健康和保健

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248694

S. Ananthanarayan, K. Siek

引用次数: 50

Designing home care reminder systems: Lessons learned through co-design with older users 设计家庭护理提醒系统:与老年用户共同设计的经验教训

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248684

M. McGee-Lennon, A. Smeaton, S. Brewster

{"title":"Designing home care reminder systems: Lessons learned through co-design with older users","authors":"M. McGee-Lennon, A. Smeaton, S. Brewster","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248684","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248684","url":null,"abstract":"Technology for care at home is an important factor in supporting our ageing population. These technologies need to be both accessible and acceptable to a wide variety of users if they are to be taken up and successfully used in people's homes. This paper describes the user-centered co-design and evaluation of a multimodal reminder system for the home deployed on mobile devices. Six co-design sessions (N=25 users) were carried out with groups of older users to investigate the best methods and techniques for configuring reminders and how they should be delivered within the home. Both sketches and implemented prototypes were used to gather qualitative feedback on a variety of interaction features and techniques to find what worked best for an older user group. We present the findings from the sessions in terms of the re-design of a personalisable multimodal reminder system. We also present the co-design process used and go on to discuss the value this method adds to the design and evaluation of home care technologies for older users.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714516","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: 36

A paper-digital interface for information capture and display in time-critical medical work 一种在时间紧迫的医疗工作中用于信息采集和显示的纸-数字接口

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248674

Aleksandra Sarcevic, Nadir Weibel, James Hollan, R. Burd

引用次数: 16

Use of kinect depth data and Growing Neural Gas for gesture based robot control 使用kinect深度数据和Growing Neural Gas进行基于手势的机器人控制

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248610

P. Yanik, J. Manganelli, J. Merino, Anthony Threatt, J. Brooks, K. Green, I. Walker

{"title":"Use of kinect depth data and Growing Neural Gas for gesture based robot control","authors":"P. Yanik, J. Manganelli, J. Merino, Anthony Threatt, J. Brooks, K. Green, I. Walker","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248610","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248610","url":null,"abstract":"Recognition of human gestures is an active area of research integral to the development of intuitive human-machine interfaces for ubiquitous computing and assistive robotics. In particular, such systems are key to effective environmental designs which facilitate aging in place. Typically, gesture recognition takes the form of template matching in which the human participant is expected to emulate a choreographed motion as prescribed by the researchers. The robotic response is then a one-to-one mapping of the template classification to a library of distinct responses. In this paper, we explore a recognition scheme based on the Growing Neural Gas (GNG) algorithm which places no initial constraints on the user to perform gestures in a specific way. Skeletal depth data collected using the Microsoft Kinect sensor is clustered by GNG and used to refine a robotic response associated with the selected GNG reference node. We envision a supervised learning paradigm similar to the training of a service animal in which the response of the robot is seen to converge upon the user's desired response by taking user feedback into account. This paper presents initial results which show that GNG effectively differentiates between gestured commands and that, using automated (policy based) feedback, the system provides improved responses over time.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480630","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: 27

VAMPIR- an automatic fall detection system using a vertical PIR sensor array VAMPIR-使用垂直PIR传感器阵列的自动跌落检测系统

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248759

M. Popescu, Benjapon Hotrabhavananda, Michael Moore, M. Skubic

引用次数: 32

A risk and Incidence Based Atrial Fibrillation Detection Scheme for wearable healthcare computing devices 基于风险和发病率的可穿戴医疗计算设备心房颤动检测方案

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248670

R. Bouhenguel, I. Mahgoub

{"title":"A risk and Incidence Based Atrial Fibrillation Detection Scheme for wearable healthcare computing devices","authors":"R. Bouhenguel, I. Mahgoub","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248670","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248670","url":null,"abstract":"Today small, battery-operated electrocardiograph devices, known as Ambulatory Event Monitors, are used to monitor the heart's rhythm and activity. These on-body healthcare devices typically require a long battery life and moreover efficient detection algorithms. They need the ability to automatically assess atrial fibrillation (A-Fib) risk, and detect the onset of A-Fib from EKG recordings for further clinical diagnosis and treatment. The focus of this paper is the design of a real-time early detection algorithm cascaded with an A-Fib risk assessment algorithm. We compare accuracy of machine learning schemes such as J48, Naïve Bayes, and Logistic Regression and choose the best algorithm to classify A-Fib from EKG medical data. Though all three algorithms have similar accuracy, the Logistic Regression model is selected for its easy portability to mobile devices. A-Fib risk factor is used to determine a monitoring schedule where the detection algorithm is triggered by the age dependent A-Fib incidence rate inside a circadian prevalence window. The design may provide a great public health benefit by predicting A-Fib risk and detecting A-Fib in order to prevent strokes and heart attacks. It also shows promising results in helping meet the needs for energy efficient real-time A-Fib monitoring, detecting and reporting.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132739734","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

Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection 预算传感器选择在患者友好型早期外周动脉疾病(PAD)检测中的应用

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2012-05-21 DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.249068

Qiaojun Wang, Kai Zhang, I. Marsic, J. Li, F. Mörchen

{"title":"Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection","authors":"Qiaojun Wang, Kai Zhang, I. Marsic, J. Li, F. Mörchen","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.249068","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.249068","url":null,"abstract":"Sensor networks provide a concise picture of complex systems and have been widely applied in health care domain. One typical scenario is to deploy sensors at different locations of human body and analyze the sensor measurements collectively to perform diagnosis of diseases. In this work, we are interested in differentiating peripheral arterial disease (PAD) patients from healthy people by monitoring peripheral blood pressure waveforms using electric sensors. PAD is an important cause of heart disease, which causes no significant symptoms until in a late stage. Therefore its early detection is of significant clinical values. Currently, PAD diagnosis either require large equipment or complicated, invasive sensor deployment, which is highly undesired in terms of medical expenses and safety considerations. To solve this problem, we present a novel approach to address the issue of high deployment cost in PAD detection via sensor networks. Assuming we are given many possibilities for sensor placement, each with different deployment cost, our goal is to select a small number of sensors with minimal costs while delivering accurate diagnosis. We solve this problem by treating each sensor as a feature, and designing a budget-constrained feature selection scheme to choose a compact, optimal subset of sensors, inducing very low deployment cost in terms of invasive treatment, while giving competitive classification accuracy compared with state-of-the-art feature selection method.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133238873","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