IoT Empowered Gesture Recognition System for Life Style Enhancement of Differently Abled People

Kolitha Warnakulasooriya, Chinthaka Premachandra, B. H. Sudantha, Sagara Sumathipala

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

1 Citation (Scopus)

Abstract

Gesture recognition could be effectively used in most instruments targeting the life support of differently abled people. Therefore, an enhanced development was carried out targeting the miscellaneous requirements of the said kind of people. The Kinect capturing device was used to extract the 3-D information and processing could be carried out using a single board PC and the low power blue tooth module was used to get the connectivity between external devices enabling IoT features of the system. Different gestures were carefully identified and unique command set was generated covering each gesture identified. Once the system is configured identifying the relevant conditions of a particular person's hearing conditions, it could be used to address his different hearing requirements.

Original languageEnglish
Title of host publication2018 International Conference on System Science and Engineering, ICSSE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538662854
DOIs
Publication statusPublished - 2018 Nov 1
Event2018 International Conference on System Science and Engineering, ICSSE 2018 - New Taipei City, Taiwan, Province of China
Duration: 2018 Jun 282018 Jun 30

Other

Other2018 International Conference on System Science and Engineering, ICSSE 2018
CountryTaiwan, Province of China
CityNew Taipei City
Period18/6/2818/6/30

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

Cite this

Warnakulasooriya, K., Premachandra, C., Sudantha, B. H., & Sumathipala, S. (2018). IoT Empowered Gesture Recognition System for Life Style Enhancement of Differently Abled People. In 2018 International Conference on System Science and Engineering, ICSSE 2018 [8520044] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSE.2018.8520044