EACare: Embodied Agent to support elderly mental wellbeing

The main goal of this multidisciplinary project is to develop a robot head with communicative skills capable of interacting with elderly people at their convenience.
The robot will be able to analyze their mental and psychological status via powerful audiovisual sensing and assessing their mental abilities to identify subjects in high risk or possibly at the first stages of depressive or dementing disorders, who would benefit from proper medical consultation. The framework will also provide tools for dementia preventive training.
We propose an ambitious, innovative and integrated approach that combines:
  • an easy-to-use patient-friendly and caregiver-friendly embodied agent to interact with patients via both verbal and non-verbal communication, including dialogue especially designed by psychiatrists to probe, measure, test, and monitor the patients mental state,
  • pioneering technological solutions at both the algorithmic and system level for multimodal information processing to achieve audiovisual human-computer interaction including action recognition, aural and facial expressions, and speech understanding,
  • systematic evaluation of the developed systems in both large and focused social groups, using feedback from each evaluation to guide further scientific research and design.

Consortium

Department of Robotics, Perception and Learning (RPL)
Project Director: Hedvig Kjellström
Department of Speech, Music and Hearing (TMH)
Principal Investigator: Joakim Gustafson
Principal Investigator: Jonas Beskow
Department of Neurobiology, Care Sciences and Society (NVS)
Principal Investigator: Miia Kivipelto

News

Sweden: 'Social Robot' designed to recognise very early stages of Alzheimers, Ruptly TV, August, 2016.

Social robot ska kunna upptäcka demens tidigare, Dagens Nyheter, July, 2016.

Publications

Patrik Jonell, Joseph Mendelson, Thomas Storskog, Göran Hagman, Per Östberg, Iolanda Leite, Taras Kucherenko, Olga Mikheeva, Ulrika Akenine, Vesna Jelic, Alina Solomon, Jonas Beskow, Joakim Gustafson, Miia Kivipelto, and Hedvig Kjellström. Machine Learning and Social Robotics for Detecting Early Signs of Dementia, http://arxiv.org/abs/1709.01613, 2017.
Position paper describing the project.