Editorial : biomechatronics : harmonizing mechatronic systems with human beings
There has been a growing body of research in the recent years on human-robot interactions, human-machine interfaces and intelligent devices that are centered around human application, however, these works by and large lacked in focus on how to harmonize the interactions between mechatronic systems a...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/103518 http://hdl.handle.net/10220/47330 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-103518 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1035182023-03-04T17:20:18Z Editorial : biomechatronics : harmonizing mechatronic systems with human beings Zhang, Dingguo Dubey, Venketesh N. Yu, Wenwei Low, Kin Huat School of Mechanical and Aerospace Engineering Exoskeleton DRNTU::Engineering::Mechanical engineering Biomechatronics There has been a growing body of research in the recent years on human-robot interactions, human-machine interfaces and intelligent devices that are centered around human application, however, these works by and large lacked in focus on how to harmonize the interactions between mechatronic systems and users in the loop. This is one of the key areas for evaluating the success of any mechatronic system implementation on human. The collection of papers in this volume is touching upon the frontiers of this research area as to how the efficacy of such biomechatronic systems could be evaluated and improved. There are a total of 19 papers looking into various aspects of human-machine interfaces (HMIs) using electromyography (EMG) and electroencephalography (EEG), tactile feedback, external devices such as exoskeletons and prosthetic devices for assistance and rehabilitation, novel techniques like machine learning and intelligent computation, and experimental evaluation or validation. The following paragraphs aim to give a glimpse of the contents presented in this eBook. Specifically, these are categorized under three distinct headings: (A) Novel exoskeletons for assistance and training, (B) Advanced human-machine interfaces in biomechatronics, and (C) Experimental outcomes and validation. Published version 2019-01-03T02:17:29Z 2019-12-06T21:14:25Z 2019-01-03T02:17:29Z 2019-12-06T21:14:25Z 2018 Journal Article Zhang, D., Dubey, V. N., Yu, W., & Low, K. H. (2018). Editorial : biomechatronics : harmonizing mechatronic systems with human beings. Frontiers in Neuroscience, 12, 768-. doi:10.3389/fnins.2018.00768 1662-4548 https://hdl.handle.net/10356/103518 http://hdl.handle.net/10220/47330 10.3389/fnins.2018.00768 en Frontiers in Neuroscience © 2018 Zhang, Dubey, Yu and Low. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. 3 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Exoskeleton DRNTU::Engineering::Mechanical engineering Biomechatronics |
spellingShingle |
Exoskeleton DRNTU::Engineering::Mechanical engineering Biomechatronics Zhang, Dingguo Dubey, Venketesh N. Yu, Wenwei Low, Kin Huat Editorial : biomechatronics : harmonizing mechatronic systems with human beings |
description |
There has been a growing body of research in the recent years on human-robot interactions, human-machine interfaces and intelligent devices that are centered around human application, however, these works by and large lacked in focus on how to harmonize the interactions between mechatronic systems and users in the loop. This is one of the key areas for evaluating the success of any mechatronic system implementation on human. The collection of papers in this volume is touching upon the frontiers of this research area as to how the efficacy of such biomechatronic systems could be evaluated and improved. There are a total of 19 papers looking into various aspects of human-machine interfaces (HMIs) using electromyography (EMG) and electroencephalography (EEG), tactile feedback, external devices such as exoskeletons and prosthetic devices for assistance and rehabilitation, novel techniques like machine learning and intelligent computation, and experimental evaluation or validation. The following paragraphs aim to give a glimpse of the contents presented in this eBook. Specifically, these are categorized under three distinct headings: (A) Novel exoskeletons for assistance and training, (B) Advanced human-machine interfaces in biomechatronics, and (C) Experimental outcomes and validation. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Zhang, Dingguo Dubey, Venketesh N. Yu, Wenwei Low, Kin Huat |
format |
Article |
author |
Zhang, Dingguo Dubey, Venketesh N. Yu, Wenwei Low, Kin Huat |
author_sort |
Zhang, Dingguo |
title |
Editorial : biomechatronics : harmonizing mechatronic systems with human beings |
title_short |
Editorial : biomechatronics : harmonizing mechatronic systems with human beings |
title_full |
Editorial : biomechatronics : harmonizing mechatronic systems with human beings |
title_fullStr |
Editorial : biomechatronics : harmonizing mechatronic systems with human beings |
title_full_unstemmed |
Editorial : biomechatronics : harmonizing mechatronic systems with human beings |
title_sort |
editorial : biomechatronics : harmonizing mechatronic systems with human beings |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/103518 http://hdl.handle.net/10220/47330 |
_version_ |
1759856734298439680 |