Fall Detection from Smart Wearable Sensors using Deep Convolutional Neural Network with Squeeze-and-Excitation Module-Reference-Cited by-同舟云学术

Fall Detection from Smart Wearable Sensors using Deep Convolutional Neural Network with Squeeze-and-Excitation Module

Published:2021-11-18 Issue: Volume: Page:
ISSN:
Container-title:2021 25th International Computer Science and Engineering Conference (ICSEC)
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Author:

Mekruksavanich Sakorn¹,Jantawong Ponnipa¹,Charoenphol Adisaya¹,Jitpattanakul Anuchit²

Affiliation:

1. School of Information and Communication Technology, University of Phayao,Department of Computer Engineering,Phayao,Thailand

2. King Mongkut's University of Technology North Bangkok,Faculty of Applied Science,Intelligent and Nonlinear Dynamic Innovations Research Center, Department of Mathematics,Bangkok,Thailand

Funder

King Mongkut's University of Technology North Bangkok

University of Phayao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9684498/9684574/09684626.pdf?arnumber=9684626

Reference29 articles.

1. LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes

2. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

3. Biometric user identification based on human activity recognition using wearable sensors: An experiment using deep learning models;mekruksavanich;Electronics,2021

4. Deep Learning: Methods and Applications

5. Convolutional Neural Network and Data Augmentation for Behavioral-Based Biometric User Identification

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