The Experts below are selected from a list of 42876 Experts worldwide ranked by ideXlab platform
Truls Ostbye - One of the best experts on this subject based on the ideXlab platform.
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the effect of the Home Environment on physical activity and dietary intake in preschool children
International Journal of Obesity, 2013Co-Authors: Truls Ostbye, Rahul Malhotra, Marissa Stroo, Cheryl A Lovelady, Rebecca Namenek J Brouwer, Nancy Zucker, Bernard F FuemmelerAbstract:The effect of the Home Environment on physical activity and dietary intake in preschool children
Bernard F Fuemmeler - One of the best experts on this subject based on the ideXlab platform.
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the effect of the Home Environment on physical activity and dietary intake in preschool children
International Journal of Obesity, 2013Co-Authors: Truls Ostbye, Rahul Malhotra, Marissa Stroo, Cheryl A Lovelady, Rebecca Namenek J Brouwer, Nancy Zucker, Bernard F FuemmelerAbstract:The effect of the Home Environment on physical activity and dietary intake in preschool children
Weihua Sheng - One of the best experts on this subject based on the ideXlab platform.
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Delivering Home healthcare through a Cloud-based Smart Home Environment (CoSHE)
Future Generation Computer Systems, 2018Co-Authors: Minh Pham, Yehenew Mengistu, Ha Do, Weihua ShengAbstract:The dramatic increase of senior population worldwide is challenging the existing healthcare and support systems. Recently, smart Home Environments are utilized for ubiquitous health monitoring, allowing patients to stay at the comfort of their Homes. In this paper we presented a Cloud-Based Smart Home Environment (CoSHE) for Home healthcare. CoSHE collects physiological, motion and audio signals through non-invasive wearable sensors and provides contextual information in terms of the resident's daily activity and location in the Home. This enables healthcare professionals to study daily activities, behavioral changes and monitor rehabilitation and recovery processes. A smart Home Environment is set up with Environmental sensors to provide contextual information. The sensor data are processed in a smart Home gateway and sent to a private cloud, which provides real time data access for remote caregivers. Our case study shows that we can successfully integrate contextual information to health data and this comprehensive information can help better understand caretaker's health status.
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Cloud-Based Smart Home Environment (CoSHE) for Home healthcare
IEEE International Conference on Automation Science and Engineering, 2016Co-Authors: Minh Pham, Yehenew Mengistu, Ha Manh Do, Weihua ShengAbstract:The continued increase of senior population worldwide is causing challenges to existing healthcare and support systems in terms of infrastructure and trained professionals. Recently, smart Home Environments are being utilized for ubiquitous health monitoring, allowing patients to stay at the comfort of their Homes. In this paper we presented a Cloud-Based Smart Home Environment (CoSHE) for Home healthcare. Our system collects physiological signals through non-invasive wearable sensors and provides contextual information in terms of daily activities and location in the Home. The body fluid intake level is also provided. This enables healthcare professionals to study daily activities, behavioral changes and monitor rehabilitation and recovery processes. A smart Home Environment is set up with ambient sensors to provide contextual information. The sensor data is processed on a smart Home gateway and is sent to a private cloud server. The cloud infrastructure is developed to provide real time data access for remote care givers. Our case study shows that we can successfully integrate contextual information to health data and this comprehensive information can help understand caretaker's health status.
Andrea Vinci - One of the best experts on this subject based on the ideXlab platform.
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on the design of smart Homes a framework for activity recognition in Home Environment
Journal of Medical Systems, 2016Co-Authors: Franco Cicirelli, Giancarlo Fortino, Andrea Giordano, Antonio Guerrieri, Giandomenico Spezzano, Andrea VinciAbstract:A smart Home is a Home Environment enriched with sensing, actuation, communication and computation capabilities which permits to adapt it to inhabitants preferences and requirements. Establishing a proper strategy of actuation on the Home Environment can require complex computational tasks on the sensed data. This is the case of activity recognition, which consists in retrieving high-level knowledge about what occurs in the Home Environment and about the behaviour of the inhabitants. The inherent complexity of this application domain asks for tools able to properly support the design and implementation phases. This paper proposes a framework for the design and implementation of smart Home applications focused on activity recognition in Home Environments. The framework mainly relies on the Cloud-assisted Agent-based Smart Home Environment (CASE) architecture offering basic abstraction entities which easily allow to design and implement Smart Home applications. CASE is a three layered architecture which exploits the distributed multi-agent paradigm and the cloud technology for offering analytics services. Details about how to implement activity recognition onto the CASE architecture are supplied focusing on the low-level technological issues as well as the algorithms and the methodologies useful for the activity recognition. The effectiveness of the framework is shown through a case study consisting of a daily activity recognition of a person in a Home Environment.
Minh Pham - One of the best experts on this subject based on the ideXlab platform.
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Delivering Home healthcare through a Cloud-based Smart Home Environment (CoSHE)
Future Generation Computer Systems, 2018Co-Authors: Minh Pham, Yehenew Mengistu, Ha Do, Weihua ShengAbstract:The dramatic increase of senior population worldwide is challenging the existing healthcare and support systems. Recently, smart Home Environments are utilized for ubiquitous health monitoring, allowing patients to stay at the comfort of their Homes. In this paper we presented a Cloud-Based Smart Home Environment (CoSHE) for Home healthcare. CoSHE collects physiological, motion and audio signals through non-invasive wearable sensors and provides contextual information in terms of the resident's daily activity and location in the Home. This enables healthcare professionals to study daily activities, behavioral changes and monitor rehabilitation and recovery processes. A smart Home Environment is set up with Environmental sensors to provide contextual information. The sensor data are processed in a smart Home gateway and sent to a private cloud, which provides real time data access for remote caregivers. Our case study shows that we can successfully integrate contextual information to health data and this comprehensive information can help better understand caretaker's health status.
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Cloud-Based Smart Home Environment (CoSHE) for Home healthcare
IEEE International Conference on Automation Science and Engineering, 2016Co-Authors: Minh Pham, Yehenew Mengistu, Ha Manh Do, Weihua ShengAbstract:The continued increase of senior population worldwide is causing challenges to existing healthcare and support systems in terms of infrastructure and trained professionals. Recently, smart Home Environments are being utilized for ubiquitous health monitoring, allowing patients to stay at the comfort of their Homes. In this paper we presented a Cloud-Based Smart Home Environment (CoSHE) for Home healthcare. Our system collects physiological signals through non-invasive wearable sensors and provides contextual information in terms of daily activities and location in the Home. The body fluid intake level is also provided. This enables healthcare professionals to study daily activities, behavioral changes and monitor rehabilitation and recovery processes. A smart Home Environment is set up with ambient sensors to provide contextual information. The sensor data is processed on a smart Home gateway and is sent to a private cloud server. The cloud infrastructure is developed to provide real time data access for remote care givers. Our case study shows that we can successfully integrate contextual information to health data and this comprehensive information can help understand caretaker's health status.