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)

Sensors and Materials, Volume 31, Number 12(2) (2019)
Copyright(C) MYU K.K.
pp. 4061-4068
S&M2069 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2452
Published: December 16, 2019

Method of Estimating Heatstroke Risk Using Wristwatch-type Device [PDF]

Yoshiyuki Kaiho, Seiichi Takamatsu, and Toshihito Itoh

(Received May 31, 2019; Accepted September 10, 2019)

Keywords: heatstroke, WBGT, black globe temperature, neural network, wearable device

As a method of estimating the risk of heatstroke with a wearable device, we have developed a method of calculating the wet bulb globe temperature (WBGT) by estimating the black globe temperature (Tg) only from sensors that can be mounted on a wristwatch-type device. In WBGT measurement, the conventional method requires a large sensor for measuring Tg, and it has been difficult to grasp an individual’s heatstroke risk. In this research, we proposed a method of estimating Tg using a neural network and compared the estimation accuracy for different numbers of layers and nodes. In the Tg range of 31 to 41 ℃, it was confirmed that when Tg was estimated by the fully connected neural network of three layers and 20 nodes, the regression coefficient between the measured Tg and the estimated Tg was 0.90, indicating a high accuracy.

Corresponding author: Yoshiyuki Kaiho


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Yoshiyuki Kaiho, Seiichi Takamatsu, and Toshihito Itoh, Method of Estimating Heatstroke Risk Using Wristwatch-type Device, Sens. Mater., Vol. 31, No. 12, 2019, p. 4061-4068.



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 2023)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper


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