Evaluation and Fault Classification for Service Robot during Sit- to-Stand Movement through Center of Mass

Many service robots have been developed to assist patients with sit-to-stand movement (STS). However, little research has focused on users' negative psychological changes during the STS movement when assisted by a robot. The STS movement accompanied with a negative psychological change is defin...

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Main Authors: Wang, Tianyi (Author), Jeong, Hieyong (Author), Ohno, Yuko (Author)
Format: Ebooks
Published: IntechOpen, 2017-12-20.
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LEADER 02178 am a22002173u 4500
001 intechopen_books_5809
042 |a dc 
100 1 0 |a Wang, Tianyi  |e author 
700 1 0 |a Jeong, Hieyong  |e author 
700 1 0 |a Ohno, Yuko  |e author 
245 0 0 |a Evaluation and Fault Classification for Service Robot during Sit- to-Stand Movement through Center of Mass 
260 |b IntechOpen,   |c 2017-12-20. 
500 |a https://mts.intechopen.com/articles/show/title/evaluation-and-fault-classification-for-service-robot-during-sit-to-stand-movement-through-center-of 
520 |a Many service robots have been developed to assist patients with sit-to-stand movement (STS). However, little research has focused on users' negative psychological changes during the STS movement when assisted by a robot. The STS movement accompanied with a negative psychological change is defined as a fault. The main purpose of this study was to propose a method of conveying faults to a service robot through the center of mass (CoM). Experiments on the STS movement were executed five times with 10 healthy subjects under four conditions: two self-performed STSs with seat heights of 43 and 62 cm, and two robot-assisted STSs with a seat height of 43 cm and end-effector speeds of 2 and 5 s. Time series data on the CoM were measured with high-speed camera system. A classifier was designed according to the data on the CoM in the frequency domain. The results showed that the proposed classifier had a high probability of discriminating fault classes from others. Then, the vertical ground reaction force (vGRF) under the same experimental conditions was used to cross-check the experimental results. It was concluded that faults in the assistance of service robots can be detected from the CoP-related items. 
540 |a https://creativecommons.org/licenses/by/3.0/ 
546 |a en 
690 |a Service Robots 
655 7 |a Chapter, Part Of Book  |2 local 
786 0 |n https://www.intechopen.com/books/5809 
787 0 |n ISBN:978-953-51-3722-1 
856 \ \ |u https://mts.intechopen.com/articles/show/title/evaluation-and-fault-classification-for-service-robot-during-sit-to-stand-movement-through-center-of  |z Get Online