S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Copyright(C) MYU K.K.
Published in advance: June 25, 2021

Self-adaptive Particle Swarm Optimization with Human-in-the-loop for Ankle Exoskeleton Control [PDF]

Jinfeng Wang, Biwei Tang, Muye Pang, Kui Xiang, and Zhaojie Ju

(Received December 17, 2020; Accepted June 15, 2021)

Keywords: ankle exoskeleton, human-in-the-loop, particle swarm optimization, muscle activity, electromyography signal

Ankle exoskeletons have recently aroused increasing research interest owing to their potential in enhancing human locomotion. Nevertheless, inter-subject variability makes the control of human–exoskeleton interaction complicated. To handle this problem, we designed a human-in-the-loop (HIL) approach to optimization control for an ankle exoskeleton during walking based on an improved self-adaptive particle swarm optimization (ISAPSO) algorithm and the iterative learning control (ILC) algorithm. As part of the development, a self-adaptive updating strategy was first proposed to tune the three key parameters of each particle to obtain a better trade-off between the global and local search abilities of ISAPSO. Moreover, since the performance of the proposed ISAPSO heavily relies on its convergence property, we provided a convergence-guaranteed parameter setting rule for the proposed optimizer after analytically investigating its convergence. Finally, the developed HIL optimization approach was verified via experimental tests on eight subjects. The experimental results revealed that the proposed method reduced the soleus muscle activities of the eight subjects by 23.46 ± 10.21, 47.04 ± 13.54, 28.52 ± 8.14, and 8.58 ± 3.82% compared with those for the static assistance condition, zero-torque model, normal walking condition, and the case optimized by standard particle swarm optimization, respectively. Thus, the proposed method can be regarded as an alternative in the field of exoskeleton HIL optimization control.

Corresponding author: Biwei Tang




Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 1(1)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on the International Multi-Conference on Engineering and Technology Innovation 2020 (IMETI2020)
Guest editor, Wen-Hsiang Hsieh (National Formosa University)
Conference website


Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 1(2)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Artificial Intelligence and Advanced Technologies for Power and Renewable Energy Systems Mainly from IS3C2020
Guest editor, Shiue Der Lu , Meng Hui Wang, Kuei Hsiang Chao, and Her Terng Yau (National Chin-Yi University of Technology)
Conference website
Call for paper


Special Issue on Human-in-the-loop Sensing in Cognitive Robotic Systems
Guest editor, Weiwei Wan (Osaka University), Yiming Jiang (Hunan University), and Daolin Ma (MIT)
Call for paper


Special Issue on Sensing and Data Analysis Technologies for Living Environment, Health Care, Production Management and Engineering/Science Education Applications: Part 2
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Rey-Chue Hwang (I-Shou University), Ja-Hao Chen (Feng Chia University), Ba-Son Nguyen (Research Center for Applied Sciences)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.