A Close Look into Human Activity Recognition Models using Deep Learning

Author:

Tee Wei Zhong1,Dave Rushit2,Seliya Jim2,Vanamala Mounika2

Affiliation:

1. Major University of Wisconsin-Eau Claire,Undergraduate Computer Science,Eau Claire,United States

2. University of Wisconsin-Eau Claire,Assistant Professor, Computer Science Dept,Eau Claire,United States

Publisher

IEEE

Cited by 12 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. Enhancing Human Activity Recognition with Siamese Networks: A Comparative Study of Contrastive and Triplet Learning Approaches;Electronics;2024-05-01

2. Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills;User Modeling and User-Adapted Interaction;2024-04-17

3. An Embedded System-Based Keypoint Detection Method for the Barthel Index Measurement;2024 10th International Conference on Applied System Innovation (ICASI);2024-04-17

4. Combining Deep Learning Techniques for Enhanced Human Activity Recognition: A Hybrid CNN-LSTM Fusion Approach;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

5. Human Activity Recognition from Sensor Data using Machine Learning;2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech);2023-12-23

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