Challenges in Sensor-based Human Activity Recognition and a Comparative Analysis of Benchmark Datasets: A Review-Reference-Cited by-同舟云学术

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Challenges in Sensor-based Human Activity Recognition and a Comparative Analysis of Benchmark Datasets: A Review

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
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Author:

Das Antar Anindya,Ahmed Masud,Ahad Md Atiqur Rahman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8849868/8858505/08858508.pdf?arnumber=8858508

Cited by 73 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. Revealing the Importance of Local and Global Interpretability in Smartphone Based Human Activity Recognition;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

2. Automated IoT-Based Performance Assessments Through Activity Recognition and Semantic Evaluation in Smart Learning Environments;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

3. Sensor-Based Human Activity Recognition Using a Hybrid CNN-SVM Approach;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

4. A novel dataset based on indoor teacher-student interactive mode using AIoT;Internet of Things;2024-04

5. PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

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