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Small Robots With Big Tasks: A Proof of Concept Implementation Using a MiRo for Fall Alert

Published: 01 April 2020 Publication History

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.

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Cited By

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  • (2023)A Q-Learning based Method for Energy-Efficient Monitoring of Activities of Daily Living using a Wearable Device and a Companion Robot2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)10.1109/CYBER59472.2023.10256442(734-739)Online publication date: 11-Jul-2023
  • (2022)A Collaborative Elderly Care System using a Companion Robot and a Wearable Device2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA)10.1109/ICIEA54703.2022.10006257(985-990)Online publication date: 16-Dec-2022
  • (2021)What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near YouCurrent Robotics Reports10.1007/s43154-020-00035-02:1(9-19)Online publication date: 4-Feb-2021

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      cover image ACM Conferences
      HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
      March 2020
      702 pages
      ISBN:9781450370578
      DOI:10.1145/3371382
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 01 April 2020

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      Author Tags

      1. autonomous navigation
      2. computer vision
      3. fall detection
      4. hri

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      View all
      • (2023)A Q-Learning based Method for Energy-Efficient Monitoring of Activities of Daily Living using a Wearable Device and a Companion Robot2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)10.1109/CYBER59472.2023.10256442(734-739)Online publication date: 11-Jul-2023
      • (2022)A Collaborative Elderly Care System using a Companion Robot and a Wearable Device2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA)10.1109/ICIEA54703.2022.10006257(985-990)Online publication date: 16-Dec-2022
      • (2021)What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near YouCurrent Robotics Reports10.1007/s43154-020-00035-02:1(9-19)Online publication date: 4-Feb-2021

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