Development of nodding detection using neural network based on communication characteristics

Shunsuke Ota, Mitsuru Jindai, Toshiyuki Yasuda, Yoshihiro Sejima

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

1 Scopus citations

Abstract

In order to communicate smoothly, human does not only use verbal information but also use non-verbal information such as nodding. Nodding can be defined as the action of moving the head vertically up-and-down rhythmically. Nodding plays a huge role as a form of non-verbal information to show approval, agreement or understanding during communications. However, a system to detect nodding action where the head motion and voice rhythm are integrated has not been proposed. Therefore, in this paper, we developed a nodding detection using Neural Network based on the communication characteristics of the head motion and voice rhythm. Initially, the voice data of the speaker side and the head motion of the listener side are measured. The human nodding is detected by measured data using NN.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages943-945
Number of pages3
ISBN (Electronic)9784907764579
DOIs
StatePublished - 2017/11/10
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 2017/09/192017/09/22

Publication series

Name2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Volume2017-November

Conference

Conference56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Country/TerritoryJapan
CityKanazawa
Period2017/09/192017/09/22

Keywords

  • Communication characteristics
  • Neural network
  • Nodding

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering
  • Instrumentation

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