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A Smart Kitchen for Ambient Assisted Living  [PDF]
Rubén Blasco,álvaro Marco,Roberto Casas,Diego Cirujano,Richard Picking
Sensors , 2014, DOI: 10.3390/s140101629
Abstract: The kitchen environment is one of the scenarios in the home where users can benefit from Ambient Assisted Living (AAL) applications. Moreover, it is the place where old people suffer from most domestic injuries. This paper presents a novel design, implementation and assessment of a Smart Kitchen which provides Ambient Assisted Living services; a smart environment that increases elderly and disabled people’s autonomy in their kitchen-related activities through context and user awareness, appropriate user interaction and artificial intelligence. It is based on a modular architecture which integrates a wide variety of home technology (household appliances, sensors, user interfaces, etc.) and associated communication standards and media (power line, radio frequency, infrared and cabled). Its software architecture is based on the Open Services Gateway initiative (OSGi), which allows building a complex system composed of small modules, each one providing the specific functionalities required, and can be easily scaled to meet our needs. The system has been evaluated by a large number of real users (63) and carers (31) in two living labs in Spain and UK. Results show a large potential of system functionalities combined with good usability and physical, sensory and cognitive accessibility.
Promises and Challenges of Ambient Assisted Living Systems  [PDF]
Hong Sun,Vincenzo De Florio,Ning Gui,Chris Blondia
Computer Science , 2015,
Abstract: The population of elderly people keeps increasing rapidly, which becomes a predominant aspect of our societies. As such, solutions both efficacious and cost-effective need to be sought. Ambient Assisted Living (AAL) is a new approach which promises to address the needs from elderly people. Ambient Intelligence technologies are widely developed in this domain aiming to construct safe environments around assisted peoples and help them maintain independent living. However, there are still many fundamental issues in AAL that remain open. Most of the current efforts still do not fully express the power of human being, and the importance of social connections and social activities is less noticed. Our conjecture is that such features are fundamental prerequisites towards truly effective AAL services. This paper reviews the current status of researches on AAL, discusses the promises and possible advantages of AAL, and also indicates the challenges we must meet in order to develop practical and efficient AAL systems for elderly people. In this paper, we also propose an approach to construct effective home-care system for the elderly people.
Wireless Sensor Networks for Ambient Assisted Living  [PDF]
Raúl Aquino-Santos,Diego Martinez-Castro,Arthur Edwards-Block,Andrés Felipe Murillo-Piedrahita
Sensors , 2013, DOI: 10.3390/s131216384
Abstract: This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this study.
The Missing Ones: Key Ingredients Towards Effective Ambient Assisted Living Systems  [PDF]
Hong Sun,Vincenzo De Florio,Ning Gui,Chris Blondia
Computer Science , 2014,
Abstract: The population of elderly people keeps increasing rapidly, which becomes a predominant aspect of our societies. As such, solutions both efficacious and cost-effective need to be sought. Ambient Assisted Living (AAL) is a new approach which promises to address the needs from elderly people. In this paper, we claim that human participation is a key ingredient towards effective AAL systems, which not only saves social resources, but also has positive relapses on the psychological health of the elderly people. Challenges in increasing the human participation in ambient assisted living are discussed in this paper and solutions to meet those challenges are also proposed. We use our proposed mutual assistance community, which is built with service oriented approach, as an example to demonstrate how to integrate human tasks in AAL systems. Our preliminary simulation results are presented, which support the effectiveness of human participation.
A Configurable Sensor Network Applied to Ambient Assisted Living  [PDF]
Juan J. Villacorta,María I. Jiménez,Lara del Val,Alberto Izquierdo
Sensors , 2011, DOI: 10.3390/s111110724
Abstract: The rising older people population has increased the interest in Ambient Assisted Living systems. This article presents a system for monitoring the disabled or older persons developed from an existing surveillance system. The modularity and adaptability characteristics of the system allow an easy adaptation for a different purpose. The proposed system uses a network of sensors capable of motion detection that includes fall warning, identification of persons and a configurable control system which allows its use in different scenarios.
An Approach for Representing Sensor Data to Validate Alerts in Ambient Assisted Living  [PDF]
Andrés Mu?oz,Emilio Serrano,Ana Villa,Mercedes Valdés,Juan A. Botía
Sensors , 2012, DOI: 10.3390/s120506282
Abstract: The mainstream of research in Ambient Assisted Living (AAL) is devoted to developing intelligent systems for processing the data collected through artificial sensing. Besides, there are other elements that must be considered to foster the adoption of AAL solutions in real environments. In this paper we focus on the problem of designing interfaces among caregivers and AAL systems. We present an alert management tool that supports carers in their task of validating alarms raised by the system. It generates text-based explanations—obtained through an argumentation process—of the causes leading to alarm activation along with graphical sensor information and 3D models, thus offering complementary types of information. Moreover, a guideline to use the tool when validating alerts is also provided. Finally, the functionality of the proposed tool is demonstrated through two real cases of alert.
Computer Vision and Wireless Sensor Networks in Ambient Assisted Living: State of the Art and Challenges  [PDF]
Velislava Spasova,Ivo Iliev
Journal of Emerging Trends in Computing and Information Sciences , 2012,
Abstract: Due to demographic reasons, the percentage of elderly population in developed countries is rapidly increasing, thus leading to much bigger demand of alternative caring solutions such as Ambient Assisted Living (AAL). This paper presents the recent research trends in AAL, as well as the main challenges to its development. The paper focuses on two significant fields in AAL– computer vision and Wireless Sensor Networks (WSN), and provides details about the state of the art and challenges to research in these fields
Fall Detection on Ambient Assisted Living using a Wireless Sensor Network
ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal , 2013,
Abstract: In this work, a distributed system for fall detection is presented. The proposed system was designed to monitor activities of the daily living of elderly people and to inform the caregivers when a falls event occurs. This system uses a scalable wireless sensor networks to collect the data and transmit it to a control center. Also, an intelligent algorithm is used to process the data collected by the sensor networks and calculate if an event is, or not, a fall. A statistical method is used to improve this algorithm and to reduce false positives. The system presented has the capability to learn with past events and to adapt is behavior with new information collected from the monitored elders. The results obtained show that the system has an accuracy above 98%.
Hierarchical Hidden Markov Model in Detecting Activities of Daily Living in Wearable Videos for Studies of Dementia  [PDF]
Svebor Karaman,Jenny Benois-Pineau,Vladislavs Dovgalecs,Rémi Mégret,Julien Pinquier,Régine André-Obrecht,Yann Ga?stel,Jean-Fran?ois Dartigues
Computer Science , 2011, DOI: 10.1007/s11042-012-1117-x
Abstract: This paper presents a method for indexing activities of daily living in videos obtained from wearable cameras. In the context of dementia diagnosis by doctors, the videos are recorded at patients' houses and later visualized by the medical practitioners. The videos may last up to two hours, therefore a tool for an efficient navigation in terms of activities of interest is crucial for the doctors. The specific recording mode provides video data which are really difficult, being a single sequence shot where strong motion and sharp lighting changes often appear. Our work introduces an automatic motion based segmentation of the video and a video structuring approach in terms of activities by a hierarchical two-level Hidden Markov Model. We define our description space over motion and visual characteristics of video and audio channels. Experiments on real data obtained from the recording at home of several patients show the difficulty of the task and the promising results of our approach.
Logical Hidden Markov Models  [PDF]
L. De Raedt,K. Kersting,T. Raiko
Computer Science , 2011, DOI: 10.1613/jair.1675
Abstract: Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characters. This note formally introduces LOHMMs and presents solutions to the three central inference problems for LOHMMs: evaluation, most likely hidden state sequence and parameter estimation. The resulting representation and algorithms are experimentally evaluated on problems from the domain of bioinformatics.
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