Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248727
Daniel J. McDuff, Amy K. Karlson, Ashish Kapoor, A. Roseway, M. Czerwinski
Emotional health is of huge importance to our quality of life. However, monitoring emotional wellbeing is challenging. AffectAura is an emotional prosthetic that allows users to reflect on their emotional states over long periods of time. The system continuously predicts user's valence, arousal and engagement based on information gathered from a multimodal sensor setup. The interface combines these predictions with rich contextual information and allows the user to explore the data. AffectAura has been validated on 100's of hours of data recorded from multiple people who found the system allowed them to reason forward and backward in time about their emotional experiences. This project illustrates the first longitudinally evaluated emotional memory system.
{"title":"AffectAura: Emotional wellbeing reflection system","authors":"Daniel J. McDuff, Amy K. Karlson, Ashish Kapoor, A. Roseway, M. Czerwinski","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248727","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248727","url":null,"abstract":"Emotional health is of huge importance to our quality of life. However, monitoring emotional wellbeing is challenging. AffectAura is an emotional prosthetic that allows users to reflect on their emotional states over long periods of time. The system continuously predicts user's valence, arousal and engagement based on information gathered from a multimodal sensor setup. The interface combines these predictions with rich contextual information and allows the user to explore the data. AffectAura has been validated on 100's of hours of data recorded from multiple people who found the system allowed them to reason forward and backward in time about their emotional experiences. This project illustrates the first longitudinally evaluated emotional memory system.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"34 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":"129715484","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248596
Ming-Feng Wu, Chih-Yu Wen
Exercise training is a crucial component of pulmonary rehabilitation for patients with chronic obstructive pulmonary disease (COPD). Based on fuzzy logic control and wireless sensor networking, we develop an approach with calibration, rehabilitation, artifact/safety monitoring and endpoint decision (CRASE) to perform adaptive subject exercise training and monitoring. This preliminary study investigates an exercise training model with overload principle and safety concern. The experimental results show that the proposed CRASE scheme is promising to efficiently put exercise training into practice for home-based rehabilitation.
{"title":"A novel shuttle walking model using networked sensing and control for chronic obstructive pulmonary disease: A preliminary study","authors":"Ming-Feng Wu, Chih-Yu Wen","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248596","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248596","url":null,"abstract":"Exercise training is a crucial component of pulmonary rehabilitation for patients with chronic obstructive pulmonary disease (COPD). Based on fuzzy logic control and wireless sensor networking, we develop an approach with calibration, rehabilitation, artifact/safety monitoring and endpoint decision (CRASE) to perform adaptive subject exercise training and monitoring. This preliminary study investigates an exercise training model with overload principle and safety concern. The experimental results show that the proposed CRASE scheme is promising to efficiently put exercise training into practice for home-based rehabilitation.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"6 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":"128738736","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248712
Sean A Munson
As we consider the next set of challenges for pervasive health, what are the issues that our current expertise may not sufficiently address? What might we have overlooked that should be on our research agenda as we go forward? In this brief paper, I argue that we would benefit from knowing more about how to design persuasive systems for single use situations (e.g., the decision to get a screening or vaccination) and that people can “graduate” from while maintaining healthy routines and habits they have developed.
{"title":"Pervasive, persuasive health: Some challenges","authors":"Sean A Munson","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248712","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248712","url":null,"abstract":"As we consider the next set of challenges for pervasive health, what are the issues that our current expertise may not sufficiently address? What might we have overlooked that should be on our research agenda as we go forward? In this brief paper, I argue that we would benefit from knowing more about how to design persuasive systems for single use situations (e.g., the decision to get a screening or vaccination) and that people can “graduate” from while maintaining healthy routines and habits they have developed.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"98 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":"132840623","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248682
Manuel Müller, Stefanie Mika, Morgan Harvey, David Elsweiler
To utilise the vast recipe databases on the Internet in intelligent nutritional assistance or recommender systems, accurate nutritional data for recipes is needed. Unfortunately, most recipes have no such data or have data of suspect quality. In this demo we present a system that automatically calculates the nutritional value of recipes sourced from the Internet. This is a challenging problem for several reasons, including lack of formulaic structure in ingredient descriptions, ingredient synonymy, brand names, and unspecific quantities being assigned. Our results show that our system can generate nutritional values within a 10% error bound of human assessors for calorie, protein and carbohydrate values. Based on our findings this is smaller than the bound between multiple human assessors.
{"title":"Estimating nutrition values for internet recipes","authors":"Manuel Müller, Stefanie Mika, Morgan Harvey, David Elsweiler","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248682","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248682","url":null,"abstract":"To utilise the vast recipe databases on the Internet in intelligent nutritional assistance or recommender systems, accurate nutritional data for recipes is needed. Unfortunately, most recipes have no such data or have data of suspect quality. In this demo we present a system that automatically calculates the nutritional value of recipes sourced from the Internet. This is a challenging problem for several reasons, including lack of formulaic structure in ingredient descriptions, ingredient synonymy, brand names, and unspecific quantities being assigned. Our results show that our system can generate nutritional values within a 10% error bound of human assessors for calorie, protein and carbohydrate values. Based on our findings this is smaller than the bound between multiple human assessors.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"199 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":"128593323","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248700
S. Wagner, N. H. Rasmussen, P. Ahrendt, T. Toftegaard, O. Bertelsen
Blood pressure self-measurement (BPSM) requires the patient to follow a range of recommendations. Patients must remain silent during measurements, be seated correctly with back support and legs uncrossed, and must have rested at least 5 minutes prior to taking the measurement. Current blood pressure (BP) devices cannot verify whether the patient has followed these recommendations or not. As a result, the data quality of BP measurements could be biased. We present a proof-of-concept demonstration prototype that uses audio context classification for detecting speech during the measurement process, as well as a sensor seat for measuring patient posture and activity before and during the BPSM process.
{"title":"Context classification during blood pressure self-measurement using the sensor seat and the audio classification device","authors":"S. Wagner, N. H. Rasmussen, P. Ahrendt, T. Toftegaard, O. Bertelsen","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248700","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248700","url":null,"abstract":"Blood pressure self-measurement (BPSM) requires the patient to follow a range of recommendations. Patients must remain silent during measurements, be seated correctly with back support and legs uncrossed, and must have rested at least 5 minutes prior to taking the measurement. Current blood pressure (BP) devices cannot verify whether the patient has followed these recommendations or not. As a result, the data quality of BP measurements could be biased. We present a proof-of-concept demonstration prototype that uses audio context classification for detecting speech during the measurement process, as well as a sensor seat for measuring patient posture and activity before and during the BPSM process.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"101 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":"116678156","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248687
A. MacWilliams, R. Pohle, M. Roshchin, Ines Steinke, F. Waidelich
Ambient Assisted Living (AAL) addresses the drastic demographic change of today's modern world and motivates further research on the necessary technological steps for offering sufficiently sensitive and appropriately responsive smart environments in the near future. Thus, enhancements and permanent improvements of technology in the AAL domain result in the sustainable development of new software and hardware platforms for suitable automated assistance services, bound to relevant business models. In this paper, an innovative, practicable technological approach for a future automated assistance service is presented, covering several currently open issues: (1) incomplete sensing, (2) insufficient communication techniques among human beings and smart environments, and (3) lack of situation-awareness of assistance services. To solve these problems, we propose the following: usage of gas sensors in smart environments, an intelligent wristwatch for people in smart environments, and the implementation of new software algorithms for improved automated situation understanding and further assistance support. These components will be offered together with currently existing products for a qualitatively new technical automated assistance system.
{"title":"Automated assistance services: Experience from the SmartSenior project","authors":"A. MacWilliams, R. Pohle, M. Roshchin, Ines Steinke, F. Waidelich","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248687","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248687","url":null,"abstract":"Ambient Assisted Living (AAL) addresses the drastic demographic change of today's modern world and motivates further research on the necessary technological steps for offering sufficiently sensitive and appropriately responsive smart environments in the near future. Thus, enhancements and permanent improvements of technology in the AAL domain result in the sustainable development of new software and hardware platforms for suitable automated assistance services, bound to relevant business models. In this paper, an innovative, practicable technological approach for a future automated assistance service is presented, covering several currently open issues: (1) incomplete sensing, (2) insufficient communication techniques among human beings and smart environments, and (3) lack of situation-awareness of assistance services. To solve these problems, we propose the following: usage of gas sensors in smart environments, an intelligent wristwatch for people in smart environments, and the implementation of new software algorithms for improved automated situation understanding and further assistance support. These components will be offered together with currently existing products for a qualitatively new technical automated assistance system.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"121 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":"123072923","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248680
Sinziana Mazilu, Michael Hardegger, Zack Z. Zhu, D. Roggen, G. Tröster, M. Plotnik, Jeffrey M. Hausdorff
Freezing of gait (FoG) is a common gait deficit in advanced Parkinson's disease (PD). FoG events are associated with falls, interfere with daily life activities and impair quality of life. FoG is often resistant to pharmacologic treatment; therefore effective non-pharmacologic assistance is needed. We propose a wearable assistant, composed of a smartphone and wearable accelerometers, for online detection of FoG. The system is based on machine learning techniques for automatic detection of FoG episodes. When FoG is detected, the assistant provides rhythmic auditory cueing or vibrotactile feedback that stimulates the patient to resume walking. We tested our solution on more than 8h of recorded lab data from PD patients that experience FoG in daily life. We characterize the system performance on user-dependent and user-independent experiments, with respect to different machine learning algorithms, sensor placement and preprocessing window size. The final system was able to detect FoG events with an average sensitivity and specificity of more than 95%, and mean detection latency of 0.34s in user-dependent settings.
{"title":"Online detection of freezing of gait with smartphones and machine learning techniques","authors":"Sinziana Mazilu, Michael Hardegger, Zack Z. Zhu, D. Roggen, G. Tröster, M. Plotnik, Jeffrey M. Hausdorff","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248680","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248680","url":null,"abstract":"Freezing of gait (FoG) is a common gait deficit in advanced Parkinson's disease (PD). FoG events are associated with falls, interfere with daily life activities and impair quality of life. FoG is often resistant to pharmacologic treatment; therefore effective non-pharmacologic assistance is needed. We propose a wearable assistant, composed of a smartphone and wearable accelerometers, for online detection of FoG. The system is based on machine learning techniques for automatic detection of FoG episodes. When FoG is detected, the assistant provides rhythmic auditory cueing or vibrotactile feedback that stimulates the patient to resume walking. We tested our solution on more than 8h of recorded lab data from PD patients that experience FoG in daily life. We characterize the system performance on user-dependent and user-independent experiments, with respect to different machine learning algorithms, sensor placement and preprocessing window size. The final system was able to detect FoG events with an average sensitivity and specificity of more than 95%, and mean detection latency of 0.34s in user-dependent settings.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"88 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":"124749772","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248699
F. Ongenae, Pieter Duysburgh, M. Verstraete, Nicky Sulmon, Lizzy Bleumers, An Jacobs, A. Ackaert, Saar De Zutter, S. Verstichel, F. Turck
The envisioned ambient-intelligent patient room contains numerous devices to sense and adjust the environment, monitor patients and support caregivers. Context-aware techniques are often used to combine and exploit the heterogeneous data offered by these devices to improve the provision of continuous care. However, the adoption of context-aware applications is lagging behind what could be expected, because they are not adapted to the daily work practices of the users, a lack of personalization of the services and not tackling problems such as the need of the users for control. To mediate this, an interdisciplinary methodology was investigated and designed in this research to involve the users in each step of the development cycle of the context-aware application. The methodology was used to develop an ambient-intelligent nurse call system, which uses gathered context data to find the most appropriate caregivers to handle a call of a patient and generate new calls based on sensor data. Moreover, a smartphone application was developed for the caregivers to receive and assess calls. The lessons learned during the user-driven development of this system are highlighted.
{"title":"User-driven design of a context-aware application: An ambient-intelligent nurse call system","authors":"F. Ongenae, Pieter Duysburgh, M. Verstraete, Nicky Sulmon, Lizzy Bleumers, An Jacobs, A. Ackaert, Saar De Zutter, S. Verstichel, F. Turck","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248699","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248699","url":null,"abstract":"The envisioned ambient-intelligent patient room contains numerous devices to sense and adjust the environment, monitor patients and support caregivers. Context-aware techniques are often used to combine and exploit the heterogeneous data offered by these devices to improve the provision of continuous care. However, the adoption of context-aware applications is lagging behind what could be expected, because they are not adapted to the daily work practices of the users, a lack of personalization of the services and not tackling problems such as the need of the users for control. To mediate this, an interdisciplinary methodology was investigated and designed in this research to involve the users in each step of the development cycle of the context-aware application. The methodology was used to develop an ambient-intelligent nurse call system, which uses gathered context data to find the most appropriate caregivers to handle a call of a patient and generate new calls based on sensor data. Moreover, a smartphone application was developed for the caregivers to receive and assess calls. The lessons learned during the user-driven development of this system are highlighted.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"26 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":"116533445","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248594
Jelena Mirkovic, Haakon Bryhni, C. Ruland
Ubiquitous healthcare systems can provide advantages to patients, enabling them to access medical information and support systems independent of their current place and time. However, due to specific requirements regarding security and usability standard mechanisms for enabling terminal and application mobility are not acceptable for healthcare information systems. We propose a service architecture framework (the CONNECT framework) that enables content adaptation and session management for ubiquitous patient support systems and addresses requirements specific for healthcare systems. The CONNECT framework provides support for terminal and application mobility, and enables easier implementation, maintenance and adaptation of patient support systems for different types of terminals, networks and services. Additionally, it addresses security and usability requirements that are of high importance for healthcare systems. Based on the proposed framework the testing environment is implemented; and as a result, we conclude that the system's scalability and performance is not significantly affected.
{"title":"A framework for the development of ubiquitous patient support systems","authors":"Jelena Mirkovic, Haakon Bryhni, C. Ruland","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248594","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248594","url":null,"abstract":"Ubiquitous healthcare systems can provide advantages to patients, enabling them to access medical information and support systems independent of their current place and time. However, due to specific requirements regarding security and usability standard mechanisms for enabling terminal and application mobility are not acceptable for healthcare information systems. We propose a service architecture framework (the CONNECT framework) that enables content adaptation and session management for ubiquitous patient support systems and addresses requirements specific for healthcare systems. The CONNECT framework provides support for terminal and application mobility, and enables easier implementation, maintenance and adaptation of patient support systems for different types of terminals, networks and services. Additionally, it addresses security and usability requirements that are of high importance for healthcare systems. Based on the proposed framework the testing environment is implemented; and as a result, we conclude that the system's scalability and performance is not significantly affected.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"40 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":"129537707","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248686
J. Kropf, Lukas Roedl, A. Stainer-Hochgatterer
This work describes a modular open source AAL framework for event recognition and smart home control. Various integrated tools simplify the configuration task, the personalization as well as the learning of activity models by a novel approach. Flexibility, standard compliant interfaces as well as the ability to transfer the system into new environments with little efforts have a strong focus. The paper describes the system architecture and the algorithms used.
{"title":"A modular and flexible system for activity recognition and smart home control based on nonobtrusive sensors","authors":"J. Kropf, Lukas Roedl, A. Stainer-Hochgatterer","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248686","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248686","url":null,"abstract":"This work describes a modular open source AAL framework for event recognition and smart home control. Various integrated tools simplify the configuration task, the personalization as well as the learning of activity models by a novel approach. Flexibility, standard compliant interfaces as well as the ability to transfer the system into new environments with little efforts have a strong focus. The paper describes the system architecture and the algorithms used.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"110 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":"129351199","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}
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