Abstract
A significant portion of the over 65 population experience a fall at least once a year in their home environment. This puts a faller under significant health risks and adds to the financial burden of the care services. This Late Breaking Report explores a proof of concept implementation of a fall alert system that uses MiRo (a small mobile social robot) in the home environment. We take advantage of MiRo's pet-like characteristics, small size, mobility, and array of sensors to implement a system where a person who has fallen can interact with it and summon help if needed. The initial aim of this proof of concept system described here was to act as a demonstration tool for health professionals and housing association representatives, gauging their needs and requirements, driving this research forward.
| Original language | English |
|---|---|
| Title of host publication | HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction |
| Publisher | Association for Computing Machinery |
| Pages | 206-208 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781450370578 |
| DOIs | |
| Publication status | Published - 23 Mar 2020 |
| Event | 15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020 - Corn Exchange, Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020 https://humanrobotinteraction.org/2020/ |
Conference
| Conference | 15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020 |
|---|---|
| Abbreviated title | HRI 2020 |
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 23/03/20 → 26/03/20 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Autonomous navigation
- Computer vision
- Fall detection
- HRI
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering
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