SmileJob: A Lightweight Personalized Accompanying System for Home Security

Pin Yu Lin, Yow Shin Liou, Jian Xing Li, Joon Kui Liew, Po Wen Chi, Ming Hung Wang*

*Corresponding author for this work

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

Abstract

With the rapid development of deep learning techniques in computer vision, emotion detection has been an emerging topic for different industries, including healthcare, mobile entertainment, and even securities. These organizations leverage emotion detection and apply it to both real-time cameras and offline videos to provide more interactivity between users and devices. In this study, we provide a lightweight personalized accompanying system for home security using emotion detection and IoT devices. We implement our design and demonstrate a practical scenario using Nvidia Jetson Nano. According to our design, we hope the system can benefit the health monitoring and interactivity for those elderly living alone.

Original languageEnglish
Title of host publicationSecurity with Intelligent Computing and Big-Data Services 2019 - Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services SICBS
EditorsLakhmi C. Jain, Sheng-Lung Peng, Shiuh-Jeng Wang
PublisherSpringer
Pages90-101
Number of pages12
ISBN (Print)9783030468279
DOIs
Publication statusPublished - 2020
Event3rd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2019 - New Taipei City, Taiwan
Duration: 2019 Dec 42019 Dec 6

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1145 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference3rd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2019
Country/TerritoryTaiwan
CityNew Taipei City
Period2019/12/042019/12/06

Keywords

  • Accompanying system
  • Deep learning
  • Home security
  • IoT applications

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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