Young Researcher Paper Award 2023
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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.
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.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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MYU K.K.
Sensors and Materials
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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)
Sensors and Materials, Volume 33, Number 1(3) (2021)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 405-413
S&M2463 Research Paper of Special Issue https://doi.org/10.18494/SAM.2021.3024 Published: January 31, 2021 Interactive Cognitive Training Tool Designed for Autism Spectrum Disorder Children [PDF] Yang Liu, Shaoping Zuo, and Chun-Liang Hsu (Received June 30, 2020; Accepted December 7, 2020) Keywords: autism, cognitive training, LED, automatic speech recognition, IR positioning
With the continuous advancement of technology and the development of sensor technology and data science, autism diagnosis technology has developed rapidly, and children with autism can be diagnosed earlier. However, there is no effective treatment so far. Comprehensive rehabilitation can only be implemented through early intervention methods. To improve the effect of early intervention on the cognitive learning of autistic children and overcome the limited focus, lack of interest to small children, and other problems in traditional cognitive learning, we designed an interactive cognitive training tool for cognitive learning of the characteristics of color for autistic children. The training tool uses LED display technology, voice recognition technology, and IR positioning technology to realize the interactive design of color recognition training for autistic children.
Corresponding author: Shaoping Zuo  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Yang Liu, Shaoping Zuo, and Chun-Liang Hsu, Interactive Cognitive Training Tool Designed for Autism Spectrum Disorder Children, Sens. Mater., Vol. 33, No. 1, 2021, p. 405-413. |
Forthcoming Regular Issues
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Applications of Novel Sensors and Related Technologies for Internet of Things
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Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2024)
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- A Prototype Portable Voltammetric Sensor for Determining Titratable Acidity of Sake and Moromi
Akira Kotani, Kokoro Taniguchi, Koichi Machida, Kazuhiro Yamamoto, and Hideki Hakamata - PACKTEST for L-Glutamate Quantification: Development of On-site and High-throughput Analytical Kits using L-Glutamate Oxidase Mutant
Keita Murai, Hiroki Yamaguchi, Satoru Furuuchi, Kazutoshi Takahashi, Uno Tagami, Moemi Tatsumi, Toshimi Mizukoshi, Hiroshi Miyano, Shuntaro Okauchi, and Masayuki Sugiki - Development of Portable Multi-fluorescence Detection System Using Indium Tin Oxide Heater for Loop-mediated Isothermal Amplification
Ryo Ishii, Sota Hirose, Shoji Yamamoto, Kazuhiro Morioka, Akihide Hemmi, and Hizuru Nakajima - Improved Substrate Specificity of Phenylalanine Dehydrogenase for L-Phenylalanine Sensor
Moemi Tatsumi, Kazutoshi Takahashi, Hiroki Yamaguchi, Uno Tagami, Hiroshi Miyano, Toshimi Mizukoshi, and Masayuki Sugiki - Reproduction of Absorption Spectra of Bromothymol Blue–Methyl Red Mixed Indicator from RGB and L*a*b* Color Coordinates and Application to Fast Spectrum Acquisition
Yusuke Kimura, Arinori Inagawa, and Nobuo Uehara - Orthogonality of α-Sulfoquinovosidase in Human Cells and Development of Its Fluorescent Substrate
Ryosuke Yoshida, Ryosei Kaguma, Ryosuke Kaneko, Ichiro Matuso, Makoto Yoritate, Go Hirai, Takamasa Teramoto, Yoshimitsu Kakuta, Kosuke Minamihata, Noriho Kamiya, Teruki Nii, Akihiro Kishimura, Takeshi Mori, and Yoshiki Katayama
- A Prototype Portable Voltammetric Sensor for Determining Titratable Acidity of Sake and Moromi
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- Healthcare System from Multisensor Collaboration and Human Action Recognition
Hongwei Gao, Xuna Wang, Zide Liu, and Yueqiu Jiang
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Special Issue on Spatial Information and Digital Twins for Built Environment Development
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