Smartphone Sensor-Based Activity Recognition by Using Machine Learning and Deep Learning Algorithms-Reference-Cited by-同舟云学术

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Smartphone Sensor-Based Activity Recognition by Using Machine Learning and Deep Learning Algorithms

Published:2018-04 Issue:2 Volume:8 Page:121-126
ISSN:2010-3700
Container-title:International Journal of Machine Learning and Computing
language:
Short-container-title:IJMLC

Author:

Liu Qingzhong, ,Zhou Zhaoxian,Shakya Sarbagya Ratna,Uduthalapally Prathyusha,Qiao Mengyu,Sung Andrew H.

Publisher

EJournal Publishing

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smartphone-sensor-based human activities classification for forensics: a machine learning approach;Journal of Electrical Systems and Information Technology;2024-08-14

2. Stacked LSTM Deep Neural Networks for Accurate Recognition of Prayer Activities with Smartphone Sensors;Arabian Journal for Science and Engineering;2024-03-04

3. Sensor based human action recognition and known public datasets a comprehensive survey;AIP Conference Proceedings;2023

4. Smartphone-Based Human Activities Recognition System using Random Forest Algorithm;2022 International Conference for Advancement in Technology (ICONAT);2022-01-21

5. A Deep Learning Approach for Recognizing Activity of Daily Living (ADL) for Senior Care: Exploiting Interaction Dependency and Temporal Patterns;MIS Quarterly;2021-06-01

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