Data driven recognition of interleaved and concurrent human activities with nonlinear characteristics-Reference-Cited by-同舟云学术

Data driven recognition of interleaved and concurrent human activities with nonlinear characteristics

Published:2019-10-25 Issue:4 Volume:37 Page:5573-5588
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Sakr Nehal A.¹,Abu-Elkheir Mervat²,Atwan A.¹³,Soliman H. H.¹

Affiliation:

1. Department of Information Technology, Faculty of Computer and Information Sciences, Mansoura University, Egypt

2. Department of Computer Science, Faculty of Media Engineering and Technology, The German University in Cairo, Egypt

3. Northern Borders University, Saudi Arabia

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

1. Sensor-based activity recognition;Chen;IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews,2012

2. Applications and Challenges of Human Activity Recognition using Sensors in a Smart Environment;Sunny;IJIRST –International Journal for Innovative Research in Science & Technology|,2015

3. A Review on Applications of Activity Recognition Systems with Regard to Performance and Evaluation;Ranasinghe;International Journal of Distributed Sensor Networks,2016

4. From action to activity: Sensor-based activity recognition;Liu;Neurocomputing,2016

5. Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors;Liu;Information Sciences,2016

Cited by 5 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. Simple to Complex, Single to Concurrent Sensor-Based Human Activity Recognition: Perception and Open Challenges;IEEE Access;2024

2. Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability;Proceedings of the 2023 8th International Conference on Machine Learning Technologies;2023-03-10

3. Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns;Cognitive Computation;2022-04-19

4. Guest Editorial Special Edition of the IEEE-CJECE;IEEE Canadian Journal of Electrical and Computer Engineering;2022

5. Deep Incremental Learning for Personalized Human Activity Recognition on Edge Devices;IEEE Canadian Journal of Electrical and Computer Engineering;2022