Performance Analysis of Supervised Machine Learning Algorithms to Recognize Human Activity in Ambient Assisted Living Environment-Reference-Cited by-同舟云学术

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Performance Analysis of Supervised Machine Learning Algorithms to Recognize Human Activity in Ambient Assisted Living Environment

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 16th India Council International Conference (INDICON)
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Author:

Patel Ashish D,Shah Jigarkumar H

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9018108/9028850/09030353.pdf?arnumber=9030353

Cited by 14 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. In-depth analysis of design & development for sensor-based human activity recognition system;Multimedia Tools and Applications;2023-09-21

2. METs as Gamified Health Indicator to Promote Elderly Active Lifestyle and Technology Acceptance in Ambient Assisted Living;Computer Science for Game Development and Game Development for Computer Science;2023-06-26

3. Investigation of Machine Learning Models for Human Activity Recognition: A Comparative Study;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07

4. Selection of an Efficient Classification Algorithm for Ambient Assisted Living: Supportive Care for Elderly People;Healthcare;2023-01-13

5. Identifying Fake Digital Information Using Machine Learning Algorithms: Performance Analysis and Recommendation System;Contemporary Mathematics;2022-12-25

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