Activity recognition using a combination of high gain observer and deep learning computer vision algorithms-Reference-Cited by-同舟云学术

Activity recognition using a combination of high gain observer and deep learning computer vision algorithms

Published:2023-05 Issue: Volume:18 Page:200213
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Nouriani A.,McGovern R.,Rajamani R.^ORCID

Funder

University of Minnesota

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference46 articles.

1. Human activity recognition using smartphone sensor based on selective classifiers;Alema Khatun,2020

2. Real time lane detection for autonomous vehicles;Assidiq,2008

3. Localization system in GPS-denied environments using radar and imu measurements: Application to a smart white cane;Barra,2019

4. An adaptive high-gain observer for nonlinear systems;Boizot;Automatica,2010

5. Human activity recognition from accelerometer data using a wearable device;Casale;Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics),2011

Cited by 3 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. Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition;Engineering Applications of Artificial Intelligence;2024-11

2. A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors;Sensors;2024-03-29

3. High Gain Embedding Observer Design: Combining Differential Geometry and Algebra with Machine Learning;2023 27th International Conference on System Theory, Control and Computing (ICSTCC);2023-10-11