The current and prospective situation of cognitively impaired people entails great human, social, and economical costs. Smart homes can help to maintain in place cognitively impaired people, to improve their autonomy, and accordingly to alleviate the burden put on informal and professional caregivers. The research performed at DOMUS lab aims at turning the whole home into a cognitive prosthetic, especially by providing cognitive assistance. In this process, behavior tracking is a fundamental piece. After sketching the infrastructure, two cognitive assistants are used to illustrate how activity recognition can help to address four kinds of cognitive deficits (initiation, attention, planning, and memory). An experimentation of one of these asistant involving people with intellectual deficiencies is finally shortly described.

International audienceCognitive assistance systems are aimed to support people loosing their autonomy while completing activities of daily living (ADL). The range of activities to support, the dissemination of interactive devices in the environment and the variability of users' cognitive capacities raise real challenges when designing assistance in such systems. This paper addresses the assistance issues and presents guidelines for assistive systems design. Especially, based on an experiment of the assistance provided while completing ADL, we suggest a principle of scaled assistance. The principle was applied to Archipel, a cognitive orthesis. This application and the results analysis of a 12 sujects experiment led to the evaluation and the improvement of some ergonomic guidelines about ambient assisted livin

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Assistive technologies can help cognitively impaired people in planning and memory tasks [1]. To provide efficient assistance, pervasive environments should be able to adapt assistance to the user's capacities, the activity to perform and the context. This paper presents an analysis of a cooking activity performed by a user with intellectual disability in a pervasive environment, named Archipel. The objective is to assess the impact of this environment on the activity processing. The activity analysis is based on ergonomic and neuropsychological methods. The results show that Archipel has a positive impact on the user's selfdetermination and independence. Further improvements should take into account the cognitive deficits presented by the people and ergonomic principles to provide more appropriate assistance.

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The article describes a recognition approach of undertaken activities of daily living (ADLs) performed by memory and/or cognitively impaired elders in smart homes. The proposed technique is materialized via a recognition module inserted in a modular generic architecture which aims to offer a framework to conceive intelligent ADLs assistance systems.

In this editorial, we wish to highlight and reflect on research advances presented in the articles comprising this special issue on technology and neuropsychological rehabilitation, which happens to be published more than a decade after the first special issue on the subject. In 2004, the journal recognised the great potential of information technology for increasing the support provided to people with cognitive deficits, and published emerging state-of-the art practices in the field. Since that time, research and technology have made tremendous progress, and the influence of information technology on research methods has transformed the field of neurorehabilitation. The aim of this editorial is thus to shed light on methodological and conceptual issues requiring further attention from researchers and clinicians in the fields of neuropsychological rehabilitation and technology, and to stimulate debate on promising avenues in clinical research.