Fall detection using smart phone and ubiquitous pulse wave sensor

Wan Azizul, Shinnosuke Imai, Tadahiro Hasegawa

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

2 Citations (Scopus)

Abstract

We have proposed the fall detection method using acceleration and angular velocity sensor in android device as well as pulse wave sensor in other device. Acceleration and angular velocity are measured by smartphone's sensors while pulse wave is measured by an external sensor. The application software for detecting the start to fall using smartphone, and the ubiquitous pulse wave sensor that can measure a human pulse even during fall motion was developed successfully.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages782-785
Number of pages4
ISBN (Electronic)9788993215069
DOIs
Publication statusPublished - 2014 Dec 16
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: 2014 Oct 222014 Oct 25

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Conference

Conference2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
CountryKorea, Republic of
CityGyeonggi-do
Period14/10/2214/10/25

Keywords

  • Acceleration
  • Angular velocity
  • Fall detection
  • Pulse wave
  • Ubiquitous pulse wave sensor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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