Map generation to detect heat stroke by using participatory sensing data

Muhammad Zulfadhli Ismail, Masahiro Inoue

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルInternational Conference on Electronics, Information and Communication, ICEIC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-4
ページ数4
2018-January
ISBN(電子版)9781538647547
DOI
出版ステータスPublished - 2018 4 2
イベント17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
継続期間: 2018 1 242018 1 27

Other

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

ASJC Scopus subject areas

  • 情報システム
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 信号処理
  • 電子工学および電気工学

フィンガープリント

「Map generation to detect heat stroke by using participatory sensing data」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル