Project Details
Description
This project aims to improve the mobility and independent living of the elderly by carrying out fundamental research programme in the targeted domain with the focus of addressing the gaps in applying robotics and autonomous systems (RAS) to the healthcare field for widening RAS’s social and economic impact.
The research objective is to investigate affordable next-generation assistive healthcare technologies by performing a PhD-level study on the smart robotic carer for facilitating the diagnosis, monitoring, preventative care, treatment and rehabilitation of the elderly in the presence of chronic disease conditions such as mild cognitive impairment.
To achieve this objective, the proposed project will be focusing on the following three research tasks: 1) To automatically detect and intelligently recognize the hazardous situations within the residential areas of the elderly. 2) To provide reliable and accurate alarms for medical interventions and predictive risk assessments through safe and reliable networks. 3) To facilitate the self-management of the elderly by integrating different health data (multimodal information) and monitoring the trends and changes in a timely manner.
The proposed project is closely aligning with one of priorities within the EPSRC’s Prosperity Outcomes Framework, i.e., Health. The ultimate ambition of this proposed research is to deliver effective interactive solutions and services in social healthcare – underpinned by adopting novel cognitively-inspired, proactive human-robot interaction paradigm.
The research objective is to investigate affordable next-generation assistive healthcare technologies by performing a PhD-level study on the smart robotic carer for facilitating the diagnosis, monitoring, preventative care, treatment and rehabilitation of the elderly in the presence of chronic disease conditions such as mild cognitive impairment.
To achieve this objective, the proposed project will be focusing on the following three research tasks: 1) To automatically detect and intelligently recognize the hazardous situations within the residential areas of the elderly. 2) To provide reliable and accurate alarms for medical interventions and predictive risk assessments through safe and reliable networks. 3) To facilitate the self-management of the elderly by integrating different health data (multimodal information) and monitoring the trends and changes in a timely manner.
The proposed project is closely aligning with one of priorities within the EPSRC’s Prosperity Outcomes Framework, i.e., Health. The ultimate ambition of this proposed research is to deliver effective interactive solutions and services in social healthcare – underpinned by adopting novel cognitively-inspired, proactive human-robot interaction paradigm.
Notes
REA (Research Excellence Award) Studentship project, £58,060.00
| Status | Finished |
|---|---|
| Effective start/end date | 1/10/17 → 30/09/20 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.