Human activity classification and localization algorithm based on temporal-spatial virtual array

Yoshihisa Okamoto, Tomoaki Ohtsuki

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

3 Citations (Scopus)

Abstract

We propose a human activity classification and localization algorithm based on temporal-spatial virtual array. By analyzing the synthetic wave of the echo reflected from each human body part, we can classify various human activities. In addition by using the estimation result of target direction with temporal-spatial phase shift that depends on relative target velocity and position, the proposed algorithm can estimate the position of a human being simultaneously with a smaller amount of computational complexity than the conventional least-square approach. We demonstrate the effectiveness of the proposed algorithm via simulation results.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Communications, ICC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1512-1516
Number of pages5
ISBN (Print)9781467331227
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: 2013 Jun 92013 Jun 13

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2013 IEEE International Conference on Communications, ICC 2013
CountryHungary
CityBudapest
Period13/6/913/6/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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