Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare最新文献_第3页

Understanding self-reflection: how people reflect on personal data through visual data exploration 理解自我反思:人们如何通过视觉数据探索来反思个人数据

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154881

E. Choe, Bongshin Lee, Haining Zhu, N. Riche, D. Baur

引用次数: 139

The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy 多伦多康复卒中姿态数据集检测卒中康复治疗期间的补偿

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154925

E. Dolatabadi, Y. X. Zhi, B. Ye, Marge M. Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie H. Wang, B. Taati

{"title":"The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy","authors":"E. Dolatabadi, Y. X. Zhi, B. Ye, Marge M. Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie H. Wang, B. Taati","doi":"10.1145/3154862.3154925","DOIUrl":"https://doi.org/10.1145/3154862.3154925","url":null,"abstract":"Stroke often leads to upper limb movement impairments. To accommodate new constraints, movement patterns are sometimes altered by stroke survivors to use stronger or unaffected joints and muscles. If used during rehabilitation exercises, however, such compensatory motions may result in ineffective outcomes. A system that can automatically detect compensatory motions would be useful in coaching stroke survivors to use proper positioning. Towards the development of such an automated tool, we present a dataset of clinically relevant motions during robotic rehabilitation exercises. The dataset is captured with a Microsoft Kinect sensor and contains two groups of participants -- 10 healthy and 9 stroke survivors - performing a series of seated motions using an upper-limb rehabilitation robot. Healthy participants performed additional sets of scripted motions to simulate common post-stroke compensatory movements. The dataset also includes common clinical assessment scores. Compensatory motions of both healthy and stroke participants were annotated by two experts and are included in the dataset. We also present a preliminary evaluation of the dataset in terms of its sensitivity and specificity in detecting compensatory movements for selected tasks. This dataset is valuable because it includes clinically relevant motions in a clinical setting using a cost-effective, portable, and convenient sensor.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125858924","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: 28

Let them play: experiences in the wild with a gamification and coaching system for young diabetes patients 让他们玩:为年轻的糖尿病患者提供游戏化和指导系统的野外体验

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154931

R. O. D. Akker, R. Klaassen, K. Bul, P. Kato, G. V. D. Burg, P. Bitonto

引用次数: 10

Investigating older adults' social networks and coproduction activities for health 调查老年人的社会网络和促进健康的合作活动

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154876

Tina Chien-Wen Yuan, Jessica Kropczynski, Richard J. Wirth, M. Rosson, John Millar Carroll

{"title":"Investigating older adults' social networks and coproduction activities for health","authors":"Tina Chien-Wen Yuan, Jessica Kropczynski, Richard J. Wirth, M. Rosson, John Millar Carroll","doi":"10.1145/3154862.3154876","DOIUrl":"https://doi.org/10.1145/3154862.3154876","url":null,"abstract":"In this survey study, we extend previous research by investigating the influence of both whole network and individual ego networks on older adults' perceived well-being from the perspective of salutogenesis. We especially take interest in their coproduction engagement where people actively involve one another in doing different types of activities to maintain health. Participants included 173 older adults aged 60 or older from retirement communities and people who age-in-place. Using social network analysis, we found network characteristics like density, degree centrality, or diameter were not associated with older adults' coproduction engagement and psychological well-being. We further found that coproduction activities may be an important mediator because our CCRC and AiP participants had similar level of coproductions and psychological well-being. Based on the results, we suggest that technological designs should facilitate older adults' coproduction by supporting diversity, expanding coproduction networks, and having customizations for different community structures in order to promote smart and connected health.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124716308","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: 18

Challenges and opportunities in evolving TreC personal health record platform 发展TreC个人健康记录平台的挑战与机遇

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154910

V. Osmani, S. Forti, O. Mayora-Ibarra, D. Conforti

引用次数: 5

Towards a new measurement language for self-knowledge in personal-informatics 面向个人信息学中自我认识的一种新的测量语言

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154934

Marialejandra García-Corretjer, Sergi Navarro-Aubanell, David Miralles

引用次数: 2

RunningCoach: cadence training system for long-distance runners RunningCoach:长跑运动员节奏训练系统

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154935

D. Aranki, U. Balakrishnan, H. Sarver, Lucas Serven, Carlos Asuncion, Kaidi Du, Caitlin Gruis, Gao Xian Peh, Yu Xiao, R. Bajcsy

引用次数: 3

Designing for hourly activity sampling in behavioral activation 行为激活中每小时活动抽样的设计

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154919

D. Rohani, N. Tuxen, L. Kessing, J. Bardram

引用次数: 4

New frontiers for pervasive telemedicine: from data science in the wild to HoloPresence 普及远程医疗的新领域:从野外数据科学到全息呈现

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154912

Nadir Weibel

{"title":"New frontiers for pervasive telemedicine: from data science in the wild to HoloPresence","authors":"Nadir Weibel","doi":"10.1145/3154862.3154912","DOIUrl":"https://doi.org/10.1145/3154862.3154912","url":null,"abstract":"Telemedicine has been regarded as the natural application of information and telecommunication technology to health and healthcare. But until now its application has been limited, and mostly focused on specialized environments. The evolution of ubiquitous sensors and the pervasiveness of mobile devices, including the growing capability to sense remote parties, is opening up new exciting opportunities pioneered by mHealth applications on our mobile devices. Coupling advances in real-world sensing with multimodal signal processing and machine learning techniques is equipping us with 'super powers' that enable understanding of health-related data in real-time, opening up new opportunities to embrace 'Data Science in the Wild'. On the other side, exciting advances in augmented and mixed reality are enabling immersive experiences that are paving the way for the next generation of telemedicine through wearable see-through augmented reality displays. We believe that the intersection of these two exciting technologies currently represents one of the cornerstones for Pervasive Telemedicine. We contextualize the sensing-intervention-visualization continuum in pervasive health, by illustrating two examples from our research in terms of (i) remote assessment of stroke through multimodal pervasive sensing, and (ii) immersive mixed reality tele-surgery and holopresence. The goal is to stimulate conversation around opportunities and limits of these technologies for pervasive telemedicine.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114715987","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

Addressing challenges in promoting healthy lifestyles: the al-chatbot approach 应对促进健康生活方式的挑战:聊天机器人方法

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI: 10.1145/3154862.3154914

Ahmed Fadhil, S. Gabrielli

{"title":"Addressing challenges in promoting healthy lifestyles: the al-chatbot approach","authors":"Ahmed Fadhil, S. Gabrielli","doi":"10.1145/3154862.3154914","DOIUrl":"https://doi.org/10.1145/3154862.3154914","url":null,"abstract":"Healthy lifestyles promotion is the main objective of primary care interventions, starting from the pediatric age, were overweight is nowadays exposing about one third of children to the risk of developing chronic diseases, such as diabetes. Recent years have seen a blast of mHealth apps for health promotion, targeting in particular nutrition and dietary behaviour change. However, reviews show difficulties in the adoption and effective usage of these applications in telemedicine and by the population in general, due to a lack of evidence-based content and strategies provided (e.g., by commercial apps) or lack of sufficient user engagement with the apps. Nutrition apps typically require self-reporting of food intake by the user which is often seen as a burden and a cause of abandonment of the app. However, current wave of research has taken up the challenge of promoting healthy lifestyles with advances in artificial intelligence (AI). This paper focus on AI chatbots as an innovative approach offering more simplicity and facilitating long-term adherence to health promotion interventions. Conversational assistants provide the advantage of being deployed in smartphones and laptops within a wide variety of applications. We will particularly focus on harnessing the power of intelligent chatbot systems to provide behaviour change interventions in telemedicine for healthy lifestyle promotion. We describe an application scenario for an AI-chatbot delivering support to nutrition education that could help to overcome current limitations of similar mHealth solutions provided for healthy lifestyles and contribute to more effective public health interventions in this application domain.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131929730","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: 97