Ambulatory pattern extraction for U-health care

Seung Eun Lee, Yeong Seob Jeong, Seung Jun Son, Hyeon Min Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The incorrect ambulatory habit affects our body temporarily as well as permanently. In this paper we propose Ambulatory Remedial Clinic Helper (ARCH), shoes detecting wrong ambulatory habit. It is easy to let patients know strange signals promptly after getting & analyzing the data of them in everyday life. ARCH system uses pressure sensors and 3-axis acceleration sensor to measure degree of wrong ambulatory habit and report the acquired data to host PC. By implementing this system, we can check the ambulatory pattern in real time, ward off plenty of foot diseases, and prevent deterioration of the existing foot problems.

Original languageEnglish
Title of host publicationComputational Intelligence and Intelligent Systems - 6th International Symposium, ISICA 2012, Proceedings
Pages626-630
Number of pages5
DOIs
StatePublished - 2012
Event6th International Symposium on Intelligence Computation and Applications, ISICA 2012 - Wuhan, China
Duration: 27 Oct 201228 Oct 2012

Publication series

NameCommunications in Computer and Information Science
Volume316 CCIS
ISSN (Print)1865-0929

Conference

Conference6th International Symposium on Intelligence Computation and Applications, ISICA 2012
Country/TerritoryChina
CityWuhan
Period27/10/1228/10/12

Keywords

  • Bio-signal Processing
  • Embedded System
  • Pervasive Computing

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