K. Tsiakas, Michalis Papakostas, Michail Theofanidis, M. Bell, Rada Mihalcea, Shouyi Wang, Mihai Burzo, F. Makedon
{"title":"An Interactive Multisensing Framework for Personalized Human Robot Collaboration and Assistive Training Using Reinforcement Learning","authors":"K. Tsiakas, Michalis Papakostas, Michail Theofanidis, M. Bell, Rada Mihalcea, Shouyi Wang, Mihai Burzo, F. Makedon","doi":"10.1145/3056540.3076191","DOIUrl":"https://doi.org/10.1145/3056540.3076191","url":null,"abstract":"There is a recent trend of research and applications of Cyber-Physical Systems (CPS) in manufacturing to enhance human-robot collaboration and production. In this paper, we propose a CPS framework for personalized Human-Robot Collaboration and Training to promote safe human-robot collaboration in manufacturing environments. We propose a human-centric CPS approach that focuses on multimodal human behavior monitoring and assessment, to promote human worker safety and enable human training in Human-Robot Collaboration tasks. We present the architecture of our proposed system, our experimental testbed and our proposed methods for multimodal physiological sensing, human state monitoring and interactive robot adaptation, to enable personalized interaction.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133678068","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}
{"title":"Analysis of Tactile Chart Design","authors":"Christin Engel, G. Weber","doi":"10.1145/3056540.3064955","DOIUrl":"https://doi.org/10.1145/3056540.3064955","url":null,"abstract":"Tactile charts are widely used by blind people to get access to visual charts. They are often a transcription of visual charts. However, design guidelines for tactile charts are not sufficient for effective tactile chart design. An effective design supports the reader understanding the chart's underlying data. We explore how design can improve the readability of tactile charts and can support the user by getting insights from the data. We analyzed 69 tactile charts, including bar charts, line charts, pie charts, area charts, and scatter plots. The charts are taken from publications, guidelines and transcriber's institutes. In particular, we studied how axes and tick marks are designed and how labels and legends are used. Furthermore, we looked into the style of chart elements as well as design considerations for specific chart types. Based on the findings, we derived basic design guidelines for bar charts. The presented study is the first stage of our research which aims to develop design guidelines for tactile charts.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115347113","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}
Isak Karlsson, P. Papapetrou, L. Asker, Henrik Boström, H. Persson
{"title":"Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records","authors":"Isak Karlsson, P. Papapetrou, L. Asker, Henrik Boström, H. Persson","doi":"10.1145/3056540.3076177","DOIUrl":"https://doi.org/10.1145/3056540.3076177","url":null,"abstract":"Heart failure is a serious medical conditions involving decreased quality of life and an increased risk of premature death. A recent evaluation by the Swedish National Board of Health and Welfare shows that Swedish heart failure patients are often undertreated and do not receive basic medication as recommended by the national guidelines for treatment of heart failure. The objective of this paper is to use registry data to characterize groups of heart failure patients, with an emphasis on basic treatment. Towards this end, we explore the applicability of frequent itemset mining and disproportionality analysis for finding interesting and distinctive characterizations of a target group of patients, e.g., those who have received basic treatment, against a control group, e.g., those who have not received basic treatment. Our empirical evaluation is performed on data extracted from administrative health records from the Stockholm County covering the years 2010--2016. Our findings suggest that frequency is not always the most appropriate measure of importance for frequent itemsets, while itemset disproportionality against a control group provides alternative rankings of the extracted itemsets leading to some medically intuitive characterizations of the target groups.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114420617","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}
{"title":"Adjusting Home Health Rankings by Proprietary Status, to Assist Patients Select Quality Services","authors":"D. Zikos, N. Delellis","doi":"10.1145/3056540.3076176","DOIUrl":"https://doi.org/10.1145/3056540.3076176","url":null,"abstract":"Patients evaluate the quality of home health services (HHAs) using the HCAHPS survey. The Centers for Medicare and Medicaid Services (CMS) publishes these ratings, using a five-star system. There are three types of HHAs, according to their proprietary status: governmental, non-profit and for-profit. The objective of this study is to, first measure differences of patient ratings between the three proprietary types, then construct an updated ranking, adjusted to the proprietary status, and finally develop a pilot interface to assist patients and their caregivers compare and choose high quality service. Five HCAHPS indicators were selected: summary rating, quality of patient care, professional care, communication and percent of patients who would recommend the agency to friends and family. Governmental and for-profit agencies received the highest and lowest summary ratings respectively (85.7% vs 53.3% were rated with four or five stars). Multiple comparisons with post hoc ANOVA analysis, revealed statistically significant differences for the majority of ratings, between and within the three different types of home health agencies (p <0.001). Since patients are often limited to agencies of a specific proprietary status, adjusted ratings comparing agencies to counterparts of same proprietary status, were constructed, and incorporated into a pilot interface. The interface will allow patients compare the original and adjusted ratings for specific HHAs of interest, or search by State, and zip code. Patients will therefore have a more realistic picture on how an agency stacks up against other candidates of same proprietary status, in an effort to choose optimal HH service.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115122988","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}
Eftychios E. Protopapadakis, A. Voulodimos, A. Doulamis, S. Camarinopoulos
{"title":"A Study on the Use of Kinect Sensor in Traditional Folk Dances Recognition via Posture Analysis","authors":"Eftychios E. Protopapadakis, A. Voulodimos, A. Doulamis, S. Camarinopoulos","doi":"10.1145/3056540.3076200","DOIUrl":"https://doi.org/10.1145/3056540.3076200","url":null,"abstract":"In this paper, we evaluate the performance of widely applied soft computing classifiers, in folk dance recognition problems, emphasizing on posture identification. In particular, the goal is to identify postures which are characteristic for the dance performed, based on exploiting simultaneously the information of 24 body joints, acquired by a Kinect II sensor. The data sets described 6 folk dances, and their variations, originating from Greece.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114893202","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}
M. Abouelenien, Mihai Burzo, Rada Mihalcea, Kristen Rusinek, David Van Alstine
{"title":"Detecting Human Thermal Discomfort via Physiological Signals","authors":"M. Abouelenien, Mihai Burzo, Rada Mihalcea, Kristen Rusinek, David Van Alstine","doi":"10.1145/3056540.3064957","DOIUrl":"https://doi.org/10.1145/3056540.3064957","url":null,"abstract":"This paper provides a new approach to the automatic detection of thermal discomfort. We see this research as a step toward the development of an intelligent climate control system that does not require any explicit input from the users. We introduce a novel dataset that simulates different thermal comfort/discomfort levels and we provide a complete analysis of different physiological signals and their capability of discriminating between these levels. Our approach is successful in detecting the thermal sensation of human subjects and it is expected to enable innovative adaptive control scenarios for enclosed environments as well as a significant reduction in energy consumption.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114954769","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}
{"title":"Towards the Development of Affective Facial Expression Recognition for Human-Robot Interaction","authors":"D. Faria, Mario Vieira, Fernanda C. C. Faria","doi":"10.1145/3056540.3076199","DOIUrl":"https://doi.org/10.1145/3056540.3076199","url":null,"abstract":"Affective facial expression is a key feature of non-verbal behavior and is considered as a symptom of an internal emotional state. Emotion recognition plays an important role in social communication: human-human and also for human-robot interaction. This work aims at the development of a framework able to recognise human emotions through facial expression for human-robot interaction. Simple features based on facial landmarks distances and angles are extracted to feed a dynamic probabilistic classification framework. The public online dataset Karolinska Directed Emotional Faces (KDEF) [12] is used to learn seven different emotions (e.g. angry, fearful, disgusted, happy, sad, surprised, and neutral) performed by seventy subjects. Offline and on-the-fly tests were carried out: leave-one-out cross validation tests using the dataset and on-the-fly tests during human-robot interactions. Preliminary results show that the proposed framework can correctly recognise human facial expressions with potential to be used in human-robot interaction scenarios.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117150928","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}
Vania V. Estrela, O. Saotome, D. Hemanth, Rui J. R. Cabral
{"title":"Emergency Response Cyber-Physical System for Disaster Prevention with Sustainable Electronics","authors":"Vania V. Estrela, O. Saotome, D. Hemanth, Rui J. R. Cabral","doi":"10.1145/3056540.3064966","DOIUrl":"https://doi.org/10.1145/3056540.3064966","url":null,"abstract":"An Emergency Response (ER) system can mitigate the risks of natural disasters in underprivileged regions. This article focuses on the instrumentation level of the sensor networks from an ER system using sustainable electronics (salvaged electronic components) and reengineering to assist distant to reach and economically deficient locations.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"50 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572395","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}
{"title":"Designing Smart Home Interfaces: Traditional vs Virtual Prototyping","authors":"S. Ceccacci, M. Mengoni","doi":"10.1145/3056540.3056556","DOIUrl":"https://doi.org/10.1145/3056540.3056556","url":null,"abstract":"This paper presents a structured User Centered Design (UCD) method to design and develop a highly usable smart home platform to manage the energy consumption of connected appliances. It exploits advanced Tangible Augmented Reality (TAR) technologies to virtually prototype the conceived design solutions and carry out usability testing with sample users. Usability tests are carried out both on traditional high fidelity prototypes and on an innovative Tangible Augmented Reality prototype. Experimental results prove the efficiency of the UCD approach supported by virtual prototypes, instead of traditional ones, the reliability of TAR prototypes to detect usability problems and assess user satisfaction, and its high interaction quality. Advantages obtainable by implementing the proposed structured UCD approach for web interface design, in the context of smart home, are discussed.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130784698","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}
{"title":"Extracting Context Information from Wi-Fi Captures","authors":"Lorenz Schauer, Claudia Linnhoff-Popien","doi":"10.1145/3056540.3056551","DOIUrl":"https://doi.org/10.1145/3056540.3056551","url":null,"abstract":"Inferring a user's current situation is the basis of context-aware services. However, users rarely provide access to their sensor data, and hence extracting context information remains challenging in real-world scenarios. In this paper, we present an overall concept for inferring mobility, location, and role information from users based on passively recorded Wi-Fi signals. Several methods are investigated and an extended Viterbi-based approach is presented to determine dwelling and motion periods. This information is used to enhance the mobility model for probabilistic indoor localization. In addition, we compute various features to classify users according to their role. The presented concept is evaluated on simulated data and discussed on real Wi-Fi captures. Our results show, that the proposed Viterbi-based approach performs best for inferring mobility states and can improve the localization accuracy in most instances. Furthermore, it helps to increase the classification performance and indicates strong cluster tendencies in our real-world dataset.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116250956","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}