Map generation to detect heat stroke by using participatory sensing data

Muhammad Zulfadhli Ismail, Masahiro Inoue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Heat stroke can be detected and predicted by using the meteorological data but due to the climate change that occurs due to the various reasons, climate cannot be predicted easily nowadays. An alternative method to detect heat stroke is realized by using participatory sensing method. Participatory sensing is a method or an approach to extract any kind of data from the communities which can be used for beneficial purpose. In this study, we used smartphones of the pedestrians to collect information such as humidity and air temperature. The data is collected by using the internal environmental sensors of the smartphone itself. Then, this data is used to detect heat stroke in real-time and the map to detect the risk of heatstroke is generated to show where the heat stroke could possibly occur in a specific location according to the location of the pedestrian. In this study, there is no need to install many outdoor sensors in order to monitor the environment but instead, we can use moving sensors which are in this study, would be the smartphones of the pedestrians.

Original languageEnglish
Title of host publicationInternational Conference on Electronics, Information and Communication, ICEIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-January
ISBN (Electronic)9781538647547
DOIs
Publication statusPublished - 2018 Apr 2
Event17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
Duration: 2018 Jan 242018 Jan 27

Other

Other17th International Conference on Electronics, Information and Communication, ICEIC 2018
CountryUnited States
CityHonolulu
Period18/1/2418/1/27

Fingerprint

Smartphones
Sensors
Climate change
Atmospheric humidity
Hot Temperature
Air
Temperature

Keywords

  • heat index
  • Heat stroke
  • humidity
  • participatory sensing
  • pedestrians
  • smartphone
  • temperature

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Ismail, M. Z., & Inoue, M. (2018). Map generation to detect heat stroke by using participatory sensing data. In International Conference on Electronics, Information and Communication, ICEIC 2018 (Vol. 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2018.8330678

Map generation to detect heat stroke by using participatory sensing data. / Ismail, Muhammad Zulfadhli; Inoue, Masahiro.

International Conference on Electronics, Information and Communication, ICEIC 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ismail, MZ & Inoue, M 2018, Map generation to detect heat stroke by using participatory sensing data. in International Conference on Electronics, Information and Communication, ICEIC 2018. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 17th International Conference on Electronics, Information and Communication, ICEIC 2018, Honolulu, United States, 18/1/24. https://doi.org/10.23919/ELINFOCOM.2018.8330678
Ismail MZ, Inoue M. Map generation to detect heat stroke by using participatory sensing data. In International Conference on Electronics, Information and Communication, ICEIC 2018. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4 https://doi.org/10.23919/ELINFOCOM.2018.8330678
Ismail, Muhammad Zulfadhli ; Inoue, Masahiro. / Map generation to detect heat stroke by using participatory sensing data. International Conference on Electronics, Information and Communication, ICEIC 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4
@inproceedings{f6ed48f6e17b4db6aac1ab5f40745d65,
title = "Map generation to detect heat stroke by using participatory sensing data",
abstract = "Heat stroke can be detected and predicted by using the meteorological data but due to the climate change that occurs due to the various reasons, climate cannot be predicted easily nowadays. An alternative method to detect heat stroke is realized by using participatory sensing method. Participatory sensing is a method or an approach to extract any kind of data from the communities which can be used for beneficial purpose. In this study, we used smartphones of the pedestrians to collect information such as humidity and air temperature. The data is collected by using the internal environmental sensors of the smartphone itself. Then, this data is used to detect heat stroke in real-time and the map to detect the risk of heatstroke is generated to show where the heat stroke could possibly occur in a specific location according to the location of the pedestrian. In this study, there is no need to install many outdoor sensors in order to monitor the environment but instead, we can use moving sensors which are in this study, would be the smartphones of the pedestrians.",
keywords = "heat index, Heat stroke, humidity, participatory sensing, pedestrians, smartphone, temperature",
author = "Ismail, {Muhammad Zulfadhli} and Masahiro Inoue",
year = "2018",
month = "4",
day = "2",
doi = "10.23919/ELINFOCOM.2018.8330678",
language = "English",
volume = "2018-January",
pages = "1--4",
booktitle = "International Conference on Electronics, Information and Communication, ICEIC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Map generation to detect heat stroke by using participatory sensing data

AU - Ismail, Muhammad Zulfadhli

AU - Inoue, Masahiro

PY - 2018/4/2

Y1 - 2018/4/2

N2 - Heat stroke can be detected and predicted by using the meteorological data but due to the climate change that occurs due to the various reasons, climate cannot be predicted easily nowadays. An alternative method to detect heat stroke is realized by using participatory sensing method. Participatory sensing is a method or an approach to extract any kind of data from the communities which can be used for beneficial purpose. In this study, we used smartphones of the pedestrians to collect information such as humidity and air temperature. The data is collected by using the internal environmental sensors of the smartphone itself. Then, this data is used to detect heat stroke in real-time and the map to detect the risk of heatstroke is generated to show where the heat stroke could possibly occur in a specific location according to the location of the pedestrian. In this study, there is no need to install many outdoor sensors in order to monitor the environment but instead, we can use moving sensors which are in this study, would be the smartphones of the pedestrians.

AB - Heat stroke can be detected and predicted by using the meteorological data but due to the climate change that occurs due to the various reasons, climate cannot be predicted easily nowadays. An alternative method to detect heat stroke is realized by using participatory sensing method. Participatory sensing is a method or an approach to extract any kind of data from the communities which can be used for beneficial purpose. In this study, we used smartphones of the pedestrians to collect information such as humidity and air temperature. The data is collected by using the internal environmental sensors of the smartphone itself. Then, this data is used to detect heat stroke in real-time and the map to detect the risk of heatstroke is generated to show where the heat stroke could possibly occur in a specific location according to the location of the pedestrian. In this study, there is no need to install many outdoor sensors in order to monitor the environment but instead, we can use moving sensors which are in this study, would be the smartphones of the pedestrians.

KW - heat index

KW - Heat stroke

KW - humidity

KW - participatory sensing

KW - pedestrians

KW - smartphone

KW - temperature

UR - http://www.scopus.com/inward/record.url?scp=85048583652&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048583652&partnerID=8YFLogxK

U2 - 10.23919/ELINFOCOM.2018.8330678

DO - 10.23919/ELINFOCOM.2018.8330678

M3 - Conference contribution

VL - 2018-January

SP - 1

EP - 4

BT - International Conference on Electronics, Information and Communication, ICEIC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -