État académique
Thèse soutenue le 2013-06-25
Sujet: Framework for Ambient Assistive Living: Handling Dynamism and Uncertainty in Real Time Semantic Services Provisioning
Direction de thèse:
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
Deployment of assistive living technology in a nursing home environment: methods and lessons learned
Background: With an ever-growing ageing population, dementia is fast becoming the chronic disease of the 21 century. Elderly people affected with dementia progressively lose their autonomy as they encounter problems in their Activities of Daily Living (ADLs). Hence, they need supervision and assistance from their family members or professional caregivers, which can often lead to underestimated psychological and financial stress for all parties. The use of Ambient Assistive Living (AAL) technologies aims to empower people with dementia and relieve the burden of their caregivers. The aim of this paper is to present the approach we have adopted to develop and deploy a system for ambient assistive living in an operating nursing home, and evaluate its performance and usability in real conditions. Based on this approach, we emphasise on the importance of deployments in real world settings as opposed to prototype testing in laboratories. Methods: We chose to conduct this work in close partnership with end-users (dementia patients) and specialists in dementia care (professional caregivers). Our trial was conducted during a period of 14 months within three rooms in a nursing home in Singapore, and with the participation of eight dementia patients and two caregivers. A technical ambient assistive living solution, consisting of a set of sensors and devices controlled by a software platform, was deployed in the collaborating nursing home. The trial was preceded by a pre-deployment period to organise several observation sessions with dementia patients and focus group discussions with professional caregivers. A process of ground truth and system's log data gathering was also planned prior to the trial and a system performance evaluation was realised during the deployment period with the help of caregivers. An ethical approval was obtained prior to real life deployment of our solution. Results: Patients' observations and discussions allowed us to gather a set of requirements that a system for elders with mild-dementia should fulfil. In fact, our deployment has exposed more concrete requirements and problems that need to be addressed, and which cannot be identified in laboratory testing. Issues that were neither forecasted during the design phase nor during the laboratory testing surfaced during deployment, thus affecting the effectiveness of the proposed solution. Results of the system performance evaluation show the evolution of system precision and uptime over the deployment phases, while data analysis demonstrates the ability to provide early detection of the degradation of patients' conditions. A qualitative feedback was collected from caregivers and doctors and a set of lessons learned emerged from this deployment experience. Conclusion: Lessons learned from this study were very useful for our research work and can serve as inspiration for developers and providers of assistive living services. They confirmed the importance of real deployment to evaluate assistive solutions especially with the involvement of professional caregivers. They also asserted the need for larger deployments. Larger deployments will allow to conduct surveys on assistive solutions social and health impact, even though they are time and manpower consuming during their first phases.
BMC Medical Informatics and Decision Makingarticle in peer-reviewed journal 2013-04-08
A semantic plug&play based framework for ambient assisted living
The large scale deployment of ambient assisted living systems raises challenges related to the heterogeneity of the environments in which sensors, devices and services will be deployed, as well as the diversity of patients' needs and profiles. In these environments, each patient has a specific profile that influences the choice of interaction devices and requires particular services. The selection of required context-aware services affects the decision on the set of sensors that need to be installed. Moreover, even in one specific environment, new sensors, devices and services may need to be added due to the evolution of patient's needs. Therefore, a generic framework that is able to adapt to such dynamic environments and to integrate new sensors, devices and services at runtime is required. In this paper, we present a dynamic framework for ambient assisted living able to adapt to the non-uniformity of the deployment environments. The main contribution consists of a semantically driven plug&play mechanism integrated seamlessly with the reasoning engine so that all the entities present in the environment can be plugged and integrated in the reasoning process without interrupting the framework functionality. Our solution is based on the OSGi framework with the use of the DPWS standard and the semantic web.
International Conference on Smart Homes and Health Telematics (ICOST)article in peer-reviewed journal 2012
Efficient Incremental Plan Recognition Method for Cognitive Assistance
In this paper we propose an efficient and incremental plan recognition method for cognitive assistance. We design our unique method based on graph matching and heuristic chaining rules in order to deal with interleaved and sequential activities. The finding of this research work is to be applied to predict abnormal behavior of the users, and optimize assistance for them. We have studied a use case of kitchen environment during lunch time that we will discuss in this paper and targeted Dementia patients. We will present implementation details as well as our evaluation plan.
International Conference on Smart Homes and Health Telematics (ICOST)article in peer-reviewed journal 2009-07
New Trends to Support Independence in Persons with Mild Dementia-A Mini-Review
Our research was motivated by the growing aging population worldwide and the need to concentrate research efforts on a specific target group; it focuses on elderly persons with physical and cognitive deficiencies. The primary goal is to enable persons with mild dementia to maximize their physical and mental functions through assistive technologies in order to be able to continue to participate in social networks and lead independent and purposeful lives. Persons with mild dementia usually have problems in performing activities of daily living due to episodic memory decline. These can include simple activities, such as bathing, changing clothes and preparing meals. Through extended field test trials involving end users, we have demonstrated that assistive technology that provides timely prompts, alarms and reminders can enable them to preserve their abilities and improve their quality of life. Understanding the user context, especially when targeting demented individuals, and providing the required personalized assistive services is the objective of our research work. Finding the appropriate user interface to interact with the provided services is often a barrier. Thus, we have adopted the approach of a multimodal interactive system with the living environment including a TV set, iPad-like tablets, sensors/actuators, and wireless speakers connected to a reasoning engine that is able to consider the complexity of the users' profile defined by his/her cognitive abilities. In this paper we will mainly focus on the interaction level with the system as well as on the validation stages performed to meet the users' requirements. This is the result of several years' work since 2006 in the frame of two projects (IST-FP6 COGKNOW European completed project and AMUPADH ongoing project in Singapore).
Gerontologyarticle in peer-reviewed journal 2012-06-05
Semantic Reasoning in Context-Aware Assistive Environments to Support Ageing with Dementia
Robust solutions for ambient assisted living are numerous, yet predominantly specific in their scope of usability. In this paper, we describe the potential contribution of semantic web technologies to building more versatile solutions -- a step towards adaptable context-aware engines and simplified deployments. Our conception and deployment work in hindsight, we highlight some implementation challenges and requirements for semantic web tools that would help to ease the development of context-aware services and thus generalize real-life deployment of semantically driven assistive technologies. We also compare available tools with regard to these requirements and validate our choices by providing some results from a real-life deployment.
11th International Semantic Web Conference (ISWC) 11th International Semantic Web Conference (ISWC)conference proceeding 2012-11-12
Handling User Interface Plasticity in Assistive Environment: UbiSMART Framework
In this paper, we present the UbiSMART (Ubiquitous Service MAnagement and Reasoning archiTecture) framework that aims to provide a highly flexible context-aware service provision mechanism with modular deployment and shared knowledge base. Pervasive computing enables assistive environments with extensive possibilities, especially when seizing opportunities to enhance quality of life for ageing people with dementia. Much research effort has been put on building architectures for ambient assisted living with various scope of focus, e.g. sensor deployment, activity recognition, service provision or human- computer interaction. However, targeting a large scale deployment, we have to go steps further in term of integration and adaptability. In this paper, we focus mainly on the reasoning mechanisms performing user interface plasticity, i.e. context-aware adaptation of the interaction to create seamless user experience. This research work led to the implementation of an integrated demonstrator based on user requirements analysis performed in Peacehaven nursing home in Singapore.
Toward Useful Services for Elderly and People with Dementia 9th International Conference on Smart Homes and Health Telematics, ICOST 2011conference proceeding 2011-06-20
Behavior Recognition for Elderly People in Large-Scale Deployment
Behavior recognition through ambient assisted living solutions for elderly people, represents an ambitious challenge for actimetry. Numerous and versatile solutions have been deployed. However, a commercial adoption is still pending, due to scalability and acceptability constraints. Most researches in ambient assisted living appear to have an heavy design, where precise features are first selected, and hardware architecture is designed accordingly. Although it may provide interesting results, such approach leads to a lack of scalability. This is why we experimented a lighter approach for a real deployment. The complexity is shifted from hardware to software, and we aim to make meaningful informations emerge from simple and generic sensor data, in order to recognize abnormal and dangerous situations. In this paper, we will describe how to retrieve consistent informations, so that resident's behavior may be observed, and that a light and generic approach fits in large scale deployments, with acceptable cost and scalability.
Inclusive Society: Health & Well being in Ageing-friendly Community, - eHealth, Telemedicine, Chronic Disease Management & Care at Home International Conference On Smart homes and health Telematicsconference proceeding 2013-06-19
Context-aware Reasoning Engine with High Level Knowledge for Smart Home
We are interested in providing people living or working in smart home environment with sensor network based assistive technology. We propose a novel rule-based reasoning engine that could be used in ubiquitous environments to infer logical consequences from events received over a sensor network. We introduce methods for rule design with high level knowledge input and using minimum information to infer micro-context. Personalised profiles can be introduced into the reasoning engine to customise features for a particular user using our rule refinement and generation module. New mechanism for sensor-engine communication is also introduced. As a proof of concept, a prototype system has been developed to demonstrate the functionalities of our reasoning engine in a simulated smart home environment.
1st International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS) 1st International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)conference proceeding 2011-03-14
From Context to Micro-context-Issues and Challenges in Sensorizing Smart Spaces for Assistive Living
Most smart home based monitoring / assistive systems that attempt to recognize activities within a smart home are targeted towards living-alone elderly, and stop at providing instantaneous coarse grained information such as room-occupancy or provide specific programmed reminders for taking medication etc. In our work, we target multiple residents, while restricting the use of wearable devices / sensors. In addition we do away with video due to privacy concerns. In this paper we present the design challenges and issues in putting together a sensor network for obtaining micro-context information in multi-person smart spaces. In order to support greater levels of ambient intelligence we support fine grained spatio-temporal data and context acquisition. The architecture is being currently developed into a prototype in a modular fashion for deployment and testing in a variety of environments, and is being concurrently evaluated and tested in real conditions, prior to deployment in a facility for elderly residents with mild cognitive disorder.
2nd International Conference on Ambient Systems, Networks and Technologies (ANT2011) 2nd International Conference on Ambient Systems, Networks and Technologies (ANT2011)conference proceeding 2011-09-19
Plan recognition based on sensor produced micro-context for eldercare
International Workshop on Context-Awareness in Smart Environments: Background, Achievements and Challenges International Workshop on Context-Awareness in Smart Environments: Background, Achievements and Challengesconference proceeding 2009
State-of-the-Art Assistive Technology for People with Dementia
scientific book 2011-06-16
Thèse: Plateforme pour l'Assistance à l'Autonomie à Domicile : Gestion du Dynamisme et de l'Incertitude pour la Provision Sémantique en Temps Réel de Services d'Assistance
Soutenance: 2013-06-25
Rapporteurs: Nick HINE    Jacques DEMONGEOT