MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...最新文献_第2页

Elderly People Living Alone: Detecting Home Visits with Ambient and Wearable Sensing 独居老人:用环境传感和可穿戴传感检测家访

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3132635.3132649

Rui Hu, Hieu Pham, P. Buluschek, D. Gática-Pérez

{"title":"Elderly People Living Alone: Detecting Home Visits with Ambient and Wearable Sensing","authors":"Rui Hu, Hieu Pham, P. Buluschek, D. Gática-Pérez","doi":"10.1145/3132635.3132649","DOIUrl":"https://doi.org/10.1145/3132635.3132649","url":null,"abstract":"Ubiquitous computing techniques are enabling the possibility to provide remote health care services to elderly citizens. In such systems, daily activities are extracted from raw sensor signals, based on which users? health status can be inferred. Due to the ambiguity of raw sensor signals, it is challenging to distinguish the number of people in the ambient, and most such systems assume user live alone. We present an algorithm to automatically detect home visits to elderly people living alone, using an ambient and wearable sensing network. We use visiting reports from caregivers as partially labeled positive data, and conduct statistical analysis to gain insights of visit events in terms of raw sensor data, based on which a set of features are extracted. A one-class support vector machine is trained on a small set of positive data from one user, and tested on five installations. Experimental results show that our algorithm can correctly detect 58%-83% of the labeled visits using only the ambient sensors. The detection rate is improved by incorporating the activity data from Fitbit activity tracker, i.e., with which 75%-87% visiting events are detected. Our system is implemented and tested in the context of a real life health care system.","PeriodicalId":92693,"journal":{"name":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85065778","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

Exploring Challenges in Automated Just-In-Time Adaptive Food Choice Interventions 探索自动化即时适应性食物选择干预的挑战

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3132635.3132648

Nada Terzimehic, Christina Schneegass, H. Hussmann

{"title":"Exploring Challenges in Automated Just-In-Time Adaptive Food Choice Interventions","authors":"Nada Terzimehic, Christina Schneegass, H. Hussmann","doi":"10.1145/3132635.3132648","DOIUrl":"https://doi.org/10.1145/3132635.3132648","url":null,"abstract":"A healthy diet lowers the risk of developing diseases like diabetes, obesity and different types of cancers and cardiovascular conditions. Persuasive systems have already shown promise in changing user's nutrition through the strategy of monitoring and retrospectively visualizing (bad) eating behavior. In contrast emerged the idea of systems proactively offering help before such behavior even occurs, i.e. before a food choice has been made. Recent advances within the sensor-enrichment of smartphones and wearable technologies have made it possible to develop new behavior change intervention techniques, such as Just-In-Time Adaptive Interventions (JITAI). Within this work, we discuss challenges towards technology-supported, completely automated JITAIs to support healthy food choices. We derive the challenges based on existing literature, and discuss future research opportunities that would benefit users towards achieving a healthier eating behavior.","PeriodicalId":92693,"journal":{"name":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82839482","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

Session details: Emerging Technologies in Multimedia and Health 会议详情:多媒体和健康领域的新兴技术

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3247927

N. O’Connor

引用次数: 0

Toward Personalized Treatment of Chronic Diseases: The CKDCase Study 慢性疾病的个性化治疗:CKDCase研究

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3132635.3132646

Chih-Yang Chen, Chun-Nan Chou, I. Wu

引用次数: 1

Few-shot Learning Using a Small-Sized Dataset of High-Resolution FUNDUS Images for Glaucoma Diagnosis 使用小尺寸高分辨率眼底图像数据集的少镜头学习用于青光眼诊断

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3132635.3132650

Mijung Kim, Jasper Zuallaert, W. D. Neve

引用次数: 28

Session details: Poster and Demo Session 会议详情:海报和演示环节

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3247929

Laleh Jalali

引用次数: 0

Managing Family Healthcare with Multimedia Chat Apps: A Survey on What is Missing 使用多媒体聊天应用程序管理家庭医疗保健:关于缺少什么的调查

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3132635.3132645

Britta Meixner, Matthew L. Lee, S. Carter

{"title":"Managing Family Healthcare with Multimedia Chat Apps: A Survey on What is Missing","authors":"Britta Meixner, Matthew L. Lee, S. Carter","doi":"10.1145/3132635.3132645","DOIUrl":"https://doi.org/10.1145/3132635.3132645","url":null,"abstract":"Chatting and messaging apps allow people to share information (text, images, etc.) using a simple, well-understood interaction metaphor of a conversational time-line. These apps can help small task-oriented user groups, like caregivers of a family member, to coordinate with each other in group chats to get things done. However, whereas existing chat apps are well-suited for communicating and sharing content on-the-go, it is difficult to retrieve content generated and shared over time or related contents that showed up over time. Currently, it is also necessary to install multiple apps that may require separate user accounts for sharing for example task lists or calendars. In this work, we provide results from a survey that investigates what additional features are considered useful in a multimedia enriched chat application used to coordinate caregivers of a family member. We also look into what an extended multimedia enriched chat interface should look like and which features it should provide.","PeriodicalId":92693,"journal":{"name":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83397605","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

DeepQ Arrhythmia Database: A Large-Scale Dataset for Arrhythmia Detector Evaluation DeepQ心律失常数据库:心律失常检测器评估的大规模数据集

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-23 DOI: 10.1145/3132635.3132647

Meng-Hsi Wu, Edward Y. Chang

{"title":"DeepQ Arrhythmia Database: A Large-Scale Dataset for Arrhythmia Detector Evaluation","authors":"Meng-Hsi Wu, Edward Y. Chang","doi":"10.1145/3132635.3132647","DOIUrl":"https://doi.org/10.1145/3132635.3132647","url":null,"abstract":"DeepQ Arrhythmia Database, the first generally available large-scale dataset for arrhythmia detector evaluation, contains 897 annotated single-lead ECG recordings from 299 unique patients. DeepQ includes beat-by-beat, rhythm episodes, and heartbeats fiducial points annotations. Each patient was engaged in a sequence of lying down, sitting, and walking activities during the ECG measurement and contributed three five-minute records to the database. Annotations were manually labeled by a group of certified cardiographic technicians and audited by a cardiologist at Taipei Veteran General Hospital, Taiwan. The aim of this database is in three folds. First, from the scale perspective, we build this database to be the largest representative reference set with greater number of unique patients and more variety of arrhythmic heartbeats. Second, from the diversity perspective, our database contains fully annotated ECG measures from three different activity modes and facilitates the arrhythmia classifier training for wearable ECG patches and AAMI assessment. Thirdly, from the quality point of view, it serves as a complement to the MIT-BIH Arrhythmia Database in the development and evaluation of the arrhythmia detector. The addition of this dataset can help facilitate the exhaustive studies using machine learning models and deep neural networks, and address the inter-patient variability. Further, we describe the development and annotation procedure of this database, as well as our on-going enhancement. We plan to make DeepQ database publicly available to advance medical research in developing outpatient, mobile arrhythmia detectors.","PeriodicalId":92693,"journal":{"name":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76507844","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

Live Personalized Nutrition Recommendation Engine. 实时个性化营养推荐引擎。

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-01 DOI: 10.1145/3132635.3132643

Nitish Nag, Vaibhav Pandey, Ramesh Jain

{"title":"Live Personalized Nutrition Recommendation Engine.","authors":"Nitish Nag, Vaibhav Pandey, Ramesh Jain","doi":"10.1145/3132635.3132643","DOIUrl":"10.1145/3132635.3132643","url":null,"abstract":"Dietary choices are the primary determinants of prominent dis- eases such as diabetes, heart disease, and obesity. Human health care providers, such as dietitians, cannot be at the side of every user at all times to manually guide them towards optimal choices. Automated adaptive guidance fused with expert knowledge can use multimedia data to technologically scale health guidance without human intervention. Addressing the correct granularity of recommendations (in this case meal dishes) is essential for effortless decision making. Thus we make a decision support system using multi-modal data relying on timely, contextually aware, personalized data to find local restaurant dishes to satisfy a user's needs. Algorithms in this system take nutritional facts regarding products, efficiently calculate which items are healthiest, then re-rank and filter results to users based on their personalized health data streams and environmental context. Our recommendation engine is driven by the primary goal of lowering the barriers to a personalized healthy choice when eating out, by distilling dish suggestions to a single contextually aware and easily understood score.","PeriodicalId":92693,"journal":{"name":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","volume":"2017 ","pages":"61-68"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581448/pdf/nihms-1026577.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37082661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Denoising of Joint Tracking Data by Kinect Sensors Using Clustered Gaussian Process Regression. 基于聚类高斯过程回归的Kinect关节跟踪数据去噪。

MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount... Pub Date : 2017-10-01 DOI: 10.1145/3132635.3132642

An-Ti Chiang, Qi Chen, Shijie Li, Yao Wang, Mei Fu

{"title":"Denoising of Joint Tracking Data by Kinect Sensors Using Clustered Gaussian Process Regression.","authors":"An-Ti Chiang, Qi Chen, Shijie Li, Yao Wang, Mei Fu","doi":"10.1145/3132635.3132642","DOIUrl":"https://doi.org/10.1145/3132635.3132642","url":null,"abstract":"Using Kinect sensors to monitor and provide feedback to patients performing intervention or rehabilitation exercises is an upcoming trend in healthcare. However, the joint positions measured by the Kinect sensor are often unreliable, especially for joints that are occluded by other parts of the body. Motion capture (MOCAP) systems using multiple cameras from different view angles can accurately track marker positions on the patient. But such systems are costly and inconvenient to patients. In this work, we simultaneously capture the joint positions using both a Kinect sensor and a MOCAP system during a training stage and train a Gaussian Process regression model to map the noisy Kinect measurements to the more accurate MOCAP measurements. To deal with the inherent variations in limb lengths and body postures among different people, we further propose a joint standardization method, which translates the raw joint positions of different people into a standard coordinate, where the distance between each pair of adjacent joints is kept at a reference distance. Our experiments show that the denoised Kinect measurements by the proposed method are more accurate than several benchmark methods.","PeriodicalId":92693,"journal":{"name":"MMHealth'17 : proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care : October 23, 2017, Mountain View, CA, USA. ACM Workshop on Multimedia for Personal Health and Health Care (2nd : 2017 : Mount...","volume":"2017 ","pages":"19-25"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3132635.3132642","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37227220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7