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

doi:10.1007/978-3-030-46828-6_9

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

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Security with Intelligent Computing and Big-Data Services 2019 - Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services SICBS
Editors	Lakhmi C. Jain, Sheng-Lung Peng, Shiuh-Jeng Wang
Publisher	Springer
Pages	90-101
Number of pages	12
ISBN (Print)	9783030468279
DOIs	https://doi.org/10.1007/978-3-030-46828-6_9
Publication status	Published - 2020
Event	3rd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2019 - New Taipei City, Taiwan Duration: 2019 Dec 4 → 2019 Dec 6

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1145 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	3rd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2019
Country/Territory	Taiwan
City	New Taipei City
Period	2019/12/04 → 2019/12/06

Keywords

Accompanying system
Deep learning
Home security
IoT applications

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-46828-6_9

Cite this

Lin, P. Y., Liou, Y. S., Li, J. X., Liew, J. K., Chi, P. W., & Wang, M. H. (2020). SmileJob: A Lightweight Personalized Accompanying System for Home Security. In L. C. Jain, S.-L. Peng, & S.-J. Wang (Eds.), Security with Intelligent Computing and Big-Data Services 2019 - Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services SICBS (pp. 90-101). (Advances in Intelligent Systems and Computing; Vol. 1145 AISC). Springer. https://doi.org/10.1007/978-3-030-46828-6_9

SmileJob: A Lightweight Personalized Accompanying System for Home Security. / Lin, Pin Yu; Liou, Yow Shin; Li, Jian Xing et al.
Security with Intelligent Computing and Big-Data Services 2019 - Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services SICBS. ed. / Lakhmi C. Jain; Sheng-Lung Peng; Shiuh-Jeng Wang. Springer, 2020. p. 90-101 (Advances in Intelligent Systems and Computing; Vol. 1145 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lin, PY, Liou, YS, Li, JX, Liew, JK, Chi, PW & Wang, MH 2020, SmileJob: A Lightweight Personalized Accompanying System for Home Security. in LC Jain, S-L Peng & S-J Wang (eds), Security with Intelligent Computing and Big-Data Services 2019 - Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services SICBS. Advances in Intelligent Systems and Computing, vol. 1145 AISC, Springer, pp. 90-101, 3rd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2019, New Taipei City, Taiwan, 2019/12/04. https://doi.org/10.1007/978-3-030-46828-6_9

Lin PY, Liou YS, Li JX, Liew JK, Chi PW, Wang MH. SmileJob: A Lightweight Personalized Accompanying System for Home Security. In Jain LC, Peng SL, Wang SJ, editors, Security with Intelligent Computing and Big-Data Services 2019 - Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services SICBS. Springer. 2020. p. 90-101. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-46828-6_9

Lin, Pin Yu ; Liou, Yow Shin ; Li, Jian Xing et al. / SmileJob : A Lightweight Personalized Accompanying System for Home Security. Security with Intelligent Computing and Big-Data Services 2019 - Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services SICBS. editor / Lakhmi C. Jain ; Sheng-Lung Peng ; Shiuh-Jeng Wang. Springer, 2020. pp. 90-101 (Advances in Intelligent Systems and Computing).

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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.",

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SmileJob: A Lightweight Personalized Accompanying System for Home Security

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Keywords

ASJC Scopus subject areas

Access to Document

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