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Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments最新文献

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Multimodal Analysis of Serious Games for Cognitive and Physiological Assessment 基于认知和生理评估的严肃游戏多模态分析
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2935833
Benjamin Chebaa, Alexandros Lioulemes, M. Abujelala, Dylan Ebert, Scott Phan, Eric Becker, F. Makedon
{"title":"Multimodal Analysis of Serious Games for Cognitive and Physiological Assessment","authors":"Benjamin Chebaa, Alexandros Lioulemes, M. Abujelala, Dylan Ebert, Scott Phan, Eric Becker, F. Makedon","doi":"10.1145/2910674.2935833","DOIUrl":"https://doi.org/10.1145/2910674.2935833","url":null,"abstract":"Serious games usually refer to virtual games used for training, simulation, or education and can engage users in cognitive and physical tasks. The design of serious games may offer insights on users' cognitive and physical behaviors while they try to accomplish structured tasks. In this study, we concentrate on the design principles of serious games that can be used for assessment, which we employed for our own design. To test our prototype, we conducted an experiment with control participants. Results from surveys, our collected game features, and sensor outputs were compared and analyzed with hypotheses based on previous research studies. Finally, we interpret the results of our experiment, and we describe issues and real life uncertainties that associate with sensor errors.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"555 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124288614","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
MyoDrive: A new way of interacting with mobile devices MyoDrive:一种与移动设备交互的新方式
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2935863
Akilesh Rajavenkatanarayanan, Yoga Vignesh Surathi, Ashwin Ramesh Babu, Michalis Papakostas
{"title":"MyoDrive: A new way of interacting with mobile devices","authors":"Akilesh Rajavenkatanarayanan, Yoga Vignesh Surathi, Ashwin Ramesh Babu, Michalis Papakostas","doi":"10.1145/2910674.2935863","DOIUrl":"https://doi.org/10.1145/2910674.2935863","url":null,"abstract":"This paper describes a real time gesture recognition system that can be used in an automobile environment to control mobile devices while driving. By using this, the requirement of the driver's attention towards his mobile phone decreases considerably. The gestures from the user are captured using MYO sensors from Thalmic Labs. An android application is installed in the user mobile to communicate with the MYO sensor through Bluetooth. Various functions in mobile phones can be performed such as, music control, call controls and navigation using the sensor. Tests and studies were conducted to monitor the feasibility of the MYO to capture gestures inside vehicles while driving.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122111969","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: 7
Simultaneous Shear/Pressure Antenna Sensor 同步剪切/压力天线传感器
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2910732
Haiying Huang, J. Yao, S. Eilbeigi
{"title":"Simultaneous Shear/Pressure Antenna Sensor","authors":"Haiying Huang, J. Yao, S. Eilbeigi","doi":"10.1145/2910674.2910732","DOIUrl":"https://doi.org/10.1145/2910674.2910732","url":null,"abstract":"This paper presents a simultaneous shear and pressure sensor for prosthetic socket monitoring. Based on the principle of multi-layer microstrip patch antenna, the shear/pressure sensor consists of a microstrip patch antenna and a U-shaped director. The U-shaped director is separated from the radiation element of the patch antenna using a soft dielectric material. We demonstrated that the shear and pressure displacements of the U-shaped director can be simultaneously measured from the two fundamental frequencies of the microstrip antenna.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123896351","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
Cognitive Errors Detection: Mining Behavioral Data Stream of People with Cognitive Impairment 认知错误检测:认知障碍患者行为数据流的挖掘
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2910689
Jianguo Hao, S. Gaboury, B. Bouchard
{"title":"Cognitive Errors Detection: Mining Behavioral Data Stream of People with Cognitive Impairment","authors":"Jianguo Hao, S. Gaboury, B. Bouchard","doi":"10.1145/2910674.2910689","DOIUrl":"https://doi.org/10.1145/2910674.2910689","url":null,"abstract":"People with cognitive impairment have difficulties in planning and correctly undertaking activities of daily living due to severe deterioration in cognitive skills. As a promising solution, smart homes try to make these people live on their own with less nursing care by providing appropriate cognitive assistance while carrying out activities. For the sake of providing adequate assistance, it is necessary to understand the real intentions of residents and recognize possible anomalous trends in time during the process of performing an activity. In this paper, we analyze the abnormal behavioral patterns caused by cognitive deficits and summarize them as cognitive errors which appear frequently among people with cognitive impairment. Cognitive error detectors are designed and integrated into a unified inference engine based on Formal Concept Analysis theory. The inference engine establishes a knowledge graph hierarchically representing the interrelations between indexed activities to recognize ongoing activities, and to detect predefined cognitive errors in behavioral data streams.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125017938","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
Vision Based Fall Detector Exploiting Deep Learning 基于视觉的深度学习跌倒检测器
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2935836
N. Doulamis
{"title":"Vision Based Fall Detector Exploiting Deep Learning","authors":"N. Doulamis","doi":"10.1145/2910674.2935836","DOIUrl":"https://doi.org/10.1145/2910674.2935836","url":null,"abstract":"In this paper we propose a vision based fall detection algorithm. Our scheme exploits a deep learning paradigm in order to isolate human's object from the background and then to perform tracking. Deep learning better emulates our brain by propagating the raw sensory inputs into \"deep\" levels of hierarchies. Network adaptation dynamically re-configures the network to fit current environment visual properties. This way, object classification accuracy and tracking is enriched. In the following step, geometrically properties from the detected human object takes place. This is performed by extracting real 3D measurements from the captured 2D image planes. Camera self-calibration methods through the extraction of vanishing points are considered in this context. The derived features are filtered using autoregressive models and filtered feature sequence are exploited as feature in a time delay neural network for performing the final fall detection. Semi-supervised learning strategies are exploited to enhance classification efficiency. Experimental results indicate the efficiency of our proposed algorithm.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129489868","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
Session details: Accessibility Tools, Methods and Applications 会议细节:辅助工具、方法和应用
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/3258052
Margrit Betke
{"title":"Session details: Accessibility Tools, Methods and Applications","authors":"Margrit Betke","doi":"10.1145/3258052","DOIUrl":"https://doi.org/10.1145/3258052","url":null,"abstract":"","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129901348","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
A Big-Data platform for Medical Knowledge Extraction from Electronic Health Records: Automatic Assignment of ICD-9 Codes 电子病历医学知识提取的大数据平台:ICD-9编码的自动分配
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2910685
C. Sideris, Sakib Shaikh, H. Kalantarian, M. Sarrafzadeh
{"title":"A Big-Data platform for Medical Knowledge Extraction from Electronic Health Records: Automatic Assignment of ICD-9 Codes","authors":"C. Sideris, Sakib Shaikh, H. Kalantarian, M. Sarrafzadeh","doi":"10.1145/2910674.2910685","DOIUrl":"https://doi.org/10.1145/2910674.2910685","url":null,"abstract":"In this paper, we present a big data plarform for knowledge categorization in Electronic Health Records and examine its application to automatic assignment of ICD-9 codes. Our platform relies on reusable, adaptable components that can perform knowledge extraction at a large scale. For the ICD-9 automatic assignment, we build and validate our approach using data from the MIMIC II Clinical Database that contains over 20,000 discharge summaries. We show that our platform can achieve state of the art performance in this dataset and that the classification results improve with more data. Overall, in the first level of the ICD-9 hierarchy our algorithm achieves an average precision of 79.7% for an average recall of 70.2%.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"424 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129338866","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
Exploring the potential of programming tasks to benefit patients with mild cognitive impairment 探索编程任务对轻度认知障碍患者的潜在益处
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2935850
S. Demetriadis, T. Tsiatsos, Theodosios Sapounidis, M. Tsolaki, Alexandros Gerontidis
{"title":"Exploring the potential of programming tasks to benefit patients with mild cognitive impairment","authors":"S. Demetriadis, T. Tsiatsos, Theodosios Sapounidis, M. Tsolaki, Alexandros Gerontidis","doi":"10.1145/2910674.2935850","DOIUrl":"https://doi.org/10.1145/2910674.2935850","url":null,"abstract":"In the context of the ASPAD project we explored the potential of robot programming tasks to benefit patients with MCI (mild cognitive impairment), when implemented as a form of cognitive training with the use of a user-friendly tangible interface. In this paper, we present relevant research evidence indicating that: (a) there is a significant negative correlation between patients' MMSE index and \"Programming Task Completion Time\" (PTCT) index, suggesting that PTCT can be used as a precursor of patients' general mental state; (b) MCI patients (treatment group) displayed significantly improved post-test performance in the \"Test of Everyday Attention\" when compared to a non-hospitalized non-otherwise treated control group. We conclude that available evidence encourage further investigation of the impact of programming tasks on MCI patients, as a cognitive training and assessment tool, in relation to important mental skills (such as analysis and planning) and cognitive processes such as attention.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130062456","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
Session details: BRAIN-TECH: Intervention Technologies to Address Neural Deterioration, Trauma or Aging Workshop 会议详情:BRAIN-TECH:干预技术解决神经退化，创伤或老化研讨会
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/3258059
Eric Becker, F. Makedon
{"title":"Session details: BRAIN-TECH: Intervention Technologies to Address Neural Deterioration, Trauma or Aging Workshop","authors":"Eric Becker, F. Makedon","doi":"10.1145/3258059","DOIUrl":"https://doi.org/10.1145/3258059","url":null,"abstract":"","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130508176","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
Silhouette labeling and tracking in calibrated omnidirectional video sequences 在校准的全向视频序列剪影标记和跟踪
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI: 10.1145/2910674.2910726
K. Delibasis, Ilias Maglogiannis, V. Plagianakos
{"title":"Silhouette labeling and tracking in calibrated omnidirectional video sequences","authors":"K. Delibasis, Ilias Maglogiannis, V. Plagianakos","doi":"10.1145/2910674.2910726","DOIUrl":"https://doi.org/10.1145/2910674.2910726","url":null,"abstract":"In this paper, we present a methodology for labeling and tracking human silhouettes in indoor videos acquired by omnidirectional (fish-eye) cameras. The proposed methodology is based on a fisheye camera model that employs a spherical optical element and central projection, which has been calibrated to allow extraction of 3D geometry clues as described in [11]. The proposed algorithm requires input from a video segmentation algorithm, generating segmented human silhouettes. The history of a person's real position, as well as his appearance in the form of R, G, B color values are utilized in the described methodology. According to initial experimentation, the proposed algorithm is able to track efficiently multiple silhouettes with prolonged partial or full occlusions and it can calculate the trajectory of each silhouette. The algorithm can operate in the presence of imperfect segmentation, with the persons moving in any direction with respect to the camera, thus producing radically different shapes and color appearances.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124887637","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
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