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Advancing Social Robots for Personalised Healthcare through Multi-Sensor Fusion and Cognitive Large Language Model

CORDIS · observation · Publication date unknown

Advancing Social Robots for Personalised Healthcare through Multi-Sensor Fusion and Cognitive Large Language Model The EU population is ageing at an unprecedented rate, while the working-age population is shrinking. This demographic shift brings significant challenges, including rising demand for long-term care services, a healthcare workforce shortage, and pressure on pension and welfare systems. Recently, social robots have been adopted to provide companionship for human mental healthcare, while the current development is still at the preliminary stage, especially in the healthcare industry. The general limitations of the current social robots are: (a) cannot support human physical healthcare by providing continuous monitoring of vital signs (e.g., respiration rate, heart rate, electrocardiogram), (b) cannot recognise advanced mental health indicators due to the unitary sensors that can only capture visual or acoustic information and (c) cannot provide personalised and empath

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recordType

award

status

SIGNED

region

EU

value

292891.41

unit

EUR