Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

By S. Qiu, Hongkai Zhao, Nan Jiang, Zhelong Wang, Long Liu, Yi An, Hongyu Zhao, Xin Miao, Ruichen Liu, Giancarlo Fortino. Information Fusion, 2021

572 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/642cf7d807cd630af5e6b0ab51ef327b55a37cea

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shen Zhang
2. Yuanbei Deng
3. Yaxuan Li
4. Farzad Shahabi
5. Nabil Alshurafa
6. Stephen Xia
7. Shibo Zhang

In Computer Vision and Pattern Recognition

1. Shen Zhang
2. Yuanbei Deng
3. Yaxuan Li
4. Farzad Shahabi
5. Nabil Alshurafa
6. Stephen Xia
7. Shibo Zhang

Citations in the corpus

• Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances (2021, background): “That is, how to adapt the model in a dynamic environment without significant performance degradation [7, 220].”