Abstract

Face-To-face communication is a form of interaction that are done by every people, but it is hard to be implemented for blind person, especially for them to recognize their interlocutors' facial expression. Hence, a device is needed for recognizing facial expression, so blind people could recognize their interlocutors' facial expression clearly and those expressions converted into non-verbal information in type of sound.This research will use embedded device designed for machine learning called AWS DeepLens, which purposed for looking the performance of the device when using Amazon Web Services (AWS) cloud computing services for AI-Trained model and compare it to on-premises deep learning. The device's outputs will inform facial expression information to the user via sound. Deep learning algorithm success will be measured in confusion matrix and its average rate is 76,16%. This proposed device utilizes cloud computing system from AWS, with objectives of system robustness and real-Time usage.

Original languageEnglish
Title of host publicationCENIM 2020 - Proceeding
Subtitle of host publicationInternational Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-370
Number of pages5
ISBN (Electronic)9781728182834
DOIs
Publication statusPublished - 17 Nov 2020
Event2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020 - Virtual, Surabaya, Indonesia
Duration: 17 Nov 202018 Nov 2020

Publication series

NameCENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020

Conference

Conference2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period17/11/2018/11/20

Keywords

  • Cloud Computing
  • Deep Learning
  • Non-verbal Communication
  • Visually-Impaired

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