Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 34, No. 8(3), S&M3042

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: January 30, 2024

Healthcare System from Multisensor Collaboration and Human Action Recognition [PDF]

Hongwei Gao, Xuna Wang, Zide Liu, and Yueqiu Jiang

(Received November 21, 2023; Accepted January 5, 2024)

Keywords: IoT, action recognition, pose estimation, remote healthcare

Over the past few decades, wearable sensor technology has played a pivotal role in patient information acquisition. A new paradigm for unconstrained medical data collection emerged with noncontact sensors such as Kinect and industrial-grade RGB cameras. These innovations have enhanced patient experiences and offer vast potential for long-term monitoring, telemedicine, and remote healthcare in underserved areas. However, while many research efforts have zeroed in on specific components, such as sensor development or algorithm design, this has occasionally led to noncontact systems’ reliability, accuracy, and connectivity challenges. Consequently, there is a pressing need for research that adopts a more holistic approach, ensuring the optimal integration of sensors and algorithms. In this study, we introduce a method of constructing a noncontact diagnostic system powered by deep learning vision algorithms that showcase strong resilience against viewpoint changes and obstructions in human motion identification and assessment. Using four RGB cameras, we capture human dynamics and leverage a pose estimator to generate comprehensive 3D human postures. Afterward, these postures are refined to aid in subsequent behavior prediction. Our multitask-trained model significantly bolsters the system’s adaptability to posture discrepancies. Notably, this noncontact diagnostic system thrives in challenging environments, such as 360-degree surveillance, intricate situations, and low-light settings where traditional sensors often falter. In addition, we have assembled a multiview autism behavior dataset. Through it, our embedded deep learning algorithm showcases exemplary action category recognition (reaching up to 95.09%), highlighting further its practical implications.

Corresponding author: Hongwei Gao and Xuna Wang




Forthcoming Regular Issues


Forthcoming Special Issues

Applications of Novel Sensors and Related Technologies for Internet of Things
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 Advanced Data Sensing and Processing Technologies for Smart Community and Smart Life
Guest editor, Tatsuya Yamazaki (Niigata University)
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Piezoelectric Thin Films and Piezoelectric MEMS
Guest editor, Isaku Kanno (Kobe University)
Call for paper


Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2024)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper


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