Well-being and -ageing with chronical disease: the BV2 project

International audienceThe BV2 project aims to propose a monitoring system for wellbeing but also well-aging working on the prevention, detection and monitoring using a System of the Systems (SoS) approach. The project partner already uses the IoT technologies and the BV2 platform will combine the different developed systems. The main originality of the project consist s in the development of a virtual platform by combining the existing system

Interaction with a Virtual Coach for Active and Healthy Ageing

International audienceSince life expectancy has increased significantly over the past century, society is being forced to discover innovative ways to support active aging and elderly care. The e-VITA project, which receives funding from both the European Union and Japan, is built on a cutting edge method of virtual coaching that focuses on the key areas of active and healthy aging. The requirements for the virtual coach were ascertained through a process of participatory design in workshops, focus groups, and living laboratories in Germany, France, Italy, and Japan. Several use cases were then chosen for development utilising the open-source Rasa framework. The system uses common representations such as Knowledge Bases and Knowledge Graphs to enable the integration of context, subject expertise, and multimodal data, and is available in English, German, French, Italian, and Japanese

Mécanisme pour gestion de la plasticité des interfaces homme machine dans les environnements d aide à domicile

The rapid development of information and communication technologies is opening a large variety of new services and aids not only for independent people, but also for dependent persons due to physical/cognitive restriction or the elderly. Combining technical aids and mobile technology allows those people to benefit from an independent living through ambient intelligent environments. The interaction with pervasive environment represents a difficult task mainly when targeted people have special needs (mental or physical impairment). Indeed, the interaction should be done through a user friendly interface by making it easier to access to the environment and benefit from assistance. Consequently, the User Interface should support not only user preferences but also user capabilities. At the same time, different surrounding computing platform are considered as an additional source of heterogeneity. The design of dynamic user interface represents an open issue which should be considered especially when focusing on pervasive environment. The term plasticity is inspired from the property of materials that expand and contract under natural constraints without breaking, thus preserving continuous usage. Applied to HCI, plasticity is the capacity of an interactive system to withstand variations of context of use while preserving usability. This research work focuses on developing mechanism of plasticity and adaptation of user interfaces in Ambient Intelligent space based on service provision architecture. This dissertation presents a set of requirement to handle plasticity like Context awareness, service modeling and user modeling. We describe a set of approaches and mechanism for user interface development and present how they inspired us to propose our model for the user interface plasticity in pervasive environment. In parallel, we developed an ontology for the description of adaptation mechanism including service presentation, user profile and devices. This ontology makes it possible to describe the adaptation semantically and finally to generate adapted user interfaces based on ontological rules elaborated throw users investigations. Developed software framework was integrated in a global system deployed within pilot sites (residence of dependant people) in order to validate its impact when involving real end users in ecological situations.PARIS-BIUSJ-Mathématiques rech (751052111) / SudocEVRY-INT (912282302) / SudocSudocFranceF

Accuracy Study and Validation Techniques for Fast Beam-Based Monostatic Scattering Computations

International audienceA Gaussian beam shooting algorithm based on Ga-bor frame decomposition is proposed for fast monostatic scattering computations in large multipath environments. Formulation and specific features of the method are outlined. Complexity and accuracy of the algorithm are discussed and illustrated by numerical results. A validation strategy based on 2D-to-3D conversion is explored, due to the large electrical size of the problems to be solved with this method

Un assistant virtuel dédié à l'accompagnement de la personne, averti de son contexte de vie, grâce au smartphone

International audienceLes publications des dernières années décrivent une forte utilisation des systèmes portés (en particulier des smartphones) dans le domaine de la reconnaissance de l'activité humaine (HAR). Le smartphone peut être considéré à la fois comme un ensemble de capteurs et comme une interface pour l'utilisateur. Le projet européen Horizon 2020 e-VITA a pour but de promouvoir le vieillissement actif chez les populations séniors. A ces fins, et grâce aux Technologies de l'Information et de la Communication (TIC), les travaux actuels sont concentrés sur le développement d'un assistant virtuel permettant d'aider l'utilisateur dans ses tâches quotidiennes. L'une des TIC utilisée dans ce projet est le smartphone. En effet, les capteurs du smartphone permettent de mesurer et de reconstituer une partie du contexte de l'utilisateur, grâce à la communication avec un serveur distant. En outre, ce serveur est capable d'offrir différents services (dont la fusion des différentes modalités) afin de reconstituer le contexte. La fusion de données multimodales implique à son tour différents modules de machine learning. Enfin, afin de restituer efficacement le contexte à l'utilisateur et de dialoguer avec lui, un module de chatbot sous le modèle chatGPT développé par openAI y est intégré. La communication avec l'utilisateur sera alors établie de manière textuelle ou vocale

A virtual assistant dedicated to the accompaniment of the person informed of his life context thanks to the smartphone

International audiencePublications in recent years describe a strong use of wearable systems (especially smartphones) in the eld of Human Activity Recognition (HAR). The smartphone can be considered both as a set of sensors and as an interface for the user. The European Horizon 2020 e-VITA project aims to promote active and healthy aging in senior populations. To this end, and thanks to Information and Communication Technologies (ICT), the current work is focused on the development of a virtual assistant to help the user in his daily tasks. One of the ICT used in this project is the smartphone. Indeed, the sensors of the smartphone make it possible to measure and reconstitute a part of the user's context, thanks to the communication with a remote server. Moreover, this server is able to o er di erent services (including the fusion of di erent modalities) in order to reconstitute the context. The fusion of multimodal data implies in its turn di erent machine learning modules. Finally, in order to e ciently restore the context to the user and to dialogue with him, a chatbot module under the chatGPT model developed by openAI is integrated. The communication with the user will then be established in a textual or vocal way

Refining visual activity recognition with semantic reasoning

International audienceAs elderly care is getting more and more important, monitoring of activity of daily living (ADL) has become an active research topic. Both robotic and pervasive computing domains, through smart homes, are creating opportunities to move forward in ADL field. Multiple techniques were proposed to identify activities, each with their features, advantages and limits. However, it is a very challenging issue and none of the existing methods provides robust results, in particular in real daily living scenarios. This is particularly true for vision-based approaches used by robots. In this paper, we propose to refine a robot's visual activity recognition process by relying on smart home sensors. We assert that the consideration of further sensors and the knowledge about the target user together with the semantic by means of an ontology and a reasoning layer in the recognition process, has improved the existing works results. We experimented through multiple activity recognition scenarios with and without refinement to assess the relevance of such a combination. Although our tests reveal positive results, they also point out limits and challenges that we discuss in this pape

Privacy preserving personal assistant with on-device diarization and spoken dialogue system for home and beyond

International audienceIn the age of personal voice assistants, the question of privacy arises. These digital companions often lack memory of past interactions, while relying heavily on the internet for speech processing, raising privacy concerns. Modern smartphones now enable on-device speech processing, making cloud-based solutions unnecessary. Personal assistants for the elderly should excel at memory recall, especially in medical examinations. The e-ViTA project developed a versatile conversational application with local processing and speaker recognition. This paper highlights the importance of speaker diarization enriched with sensor data fusion for contextualized conversation preservation. The use cases applied to the e-VITA project have shown that truly personalized dialogue is pivotal for individual voice assistants. Secure local processing and sensor data fusion ensure virtual companions meet individual user needs without compromising privacy or data security