A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System

Neil Joshua P. Limbaga; Kevin Luis T. Mallari; Nathan Richward O. Yeung; Carlos M. Oppus

doi:10.1109/ECTIDAMTNCON57770.2023.10139738

A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System

Neil Joshua P. Limbaga, Kevin Luis T. Mallari, Nathan Richward O. Yeung, Carlos M. Oppus

Department of Electronics, Computer, and Communications Engineering

Ateneo de Manila University

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

Original language	English
Title of host publication	8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	203-208
Number of pages	6
ISBN (Electronic)	9798350396546
DOIs	https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139738
State	Published - 2023
Event	Joint 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023 - Phuket, Thailand Duration: Mar 22 2023 → Mar 25 2023

Publication series

Name	8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023

Conference

Conference	Joint 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023
Country/Territory	Thailand
City	Phuket
Period	3/22/23 → 3/25/23

ASJC Scopus Subject Areas

Education
Arts and Humanities (miscellaneous)
Artificial Intelligence
Computer Networks and Communications
Information Systems and Management
Electrical and Electronic Engineering
Media Technology
Health Informatics

Keywords

3-axis Accelerometer
Cloud Computing
Edge Impulse Computing
Fall Monitoring System
Full Stack Development
Shallow Neural Network

Access to Document

10.1109/ECTIDAMTNCON57770.2023.10139738

Cite this

Limbaga, N. J. P., Mallari, K. L. T., Yeung, N. R. O., & Oppus, C. M. (2023). A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System. In 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023 (pp. 203-208). (8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139738

A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System. / Limbaga, Neil Joshua P.; Mallari, Kevin Luis T.; Yeung, Nathan Richward O. et al.
8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 203-208 (8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023).

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

Limbaga, NJP, Mallari, KLT, Yeung, NRO & Oppus, CM 2023, A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System. in 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023. 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023, Institute of Electrical and Electronics Engineers Inc., pp. 203-208, Joint 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023, Phuket, Thailand, 3/22/23. https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139738

Limbaga NJP, Mallari KLT, Yeung NRO, Oppus CM. A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System. In 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 203-208. (8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023). doi: 10.1109/ECTIDAMTNCON57770.2023.10139738

Limbaga, Neil Joshua P. ; Mallari, Kevin Luis T. ; Yeung, Nathan Richward O. et al. / A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System. 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 203-208 (8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2023).

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A Mixed Cloud-and-Embedded-based Approach with Machine Learning Towards the Development of a Fall Monitoring System

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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