Nursing care teaching system using mixed reality technology

Aoki, Goro, Luces, Jose Victorio Salazar, Ravankar, Ankit A., Tafrishi, Seyed Amir ORCID: https://orcid.org/0000-0001-9829-3144 and Hirata, Yasuhisa 2022. Nursing care teaching system using mixed reality technology. Presented at: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), Japan, 01-04 June 2022. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). , vol.2022 2P2-G07. 10.1299/jsmermd.2022.2P2-G07

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Abstract

We propose a novel system for teaching nursing care movements using mixed reality technology and human pose estimation technology. This paper proposes a teaching system that guides a patient from a lying posture to a sitting posture. This nursing care operation is not easy to learn because it requires several steps to guide the patient to an appropriate posture. In this method, a mixed reality headset is attached to the caregiver, and “how-to guide the patient” is projected onto the real world to teach the caregiving operation intuitively. The system uses a camera mounted above the patient’s bed to estimate the patient’s pose and then uses a mixed reality headset mounted on the caregiver to project nursing care instructions based on the patient’s pose.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
ISSN:	2424-3124
Last Modified:	28 Apr 2023 08:15
URI:	https://orca.cardiff.ac.uk/id/eprint/156231

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