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Clustering Latent Sensor Distribution on Body Map for Generating Body Schema Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Robot Patient Imitating Paralysis Patients for Nursing Students to Learn Patient Transfer Skill

Authors : Chingszu Lin, Zhifeng Huang, Masako Kanai-Pak, Jukai Maeda, Yasuko Kitajima, Mitsuhiro Nakamura, Noriaki Kuwahara, Taiki Ogata, Jun Ota

Published in: Intelligent Autonomous Systems 14

Publisher: Springer International Publishing

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Abstract

This research aims to develop a robot to help nursing students learn how to physically transfer paralyzed patients. Our prior robotic prototype had only been designed to imitate a patient with weak lower limbs; it was unable to imitate the imbalance and instability of the trunk. Therefore, we developed and waist joint on the prototype robot and also the control system in order to emulate quadriplegic and hemiplegic patients’ tendency to fall over. The waist was designed with 2 DOF compliant joints. Evaluation of the robot showed that the robot was able to properly imitate the unstable waist movements of paralyzed patients.

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Metadata
Title
Robot Patient Imitating Paralysis Patients for Nursing Students to Learn Patient Transfer Skill
Authors
Chingszu Lin
Zhifeng Huang
Masako Kanai-Pak
Jukai Maeda
Yasuko Kitajima
Mitsuhiro Nakamura
Noriaki Kuwahara
Taiki Ogata
Jun Ota
Copyright Year
2017
Book
Intelligent Autonomous Systems 14

Print ISBN: 978-3-319-48035-0

Electronic ISBN: 978-3-319-48036-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-48036-7_40

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