no code implementations • 16 Mar 2023 • Haimiao Mo, Shuai Ding, Siu Cheung Hui
Multimodal data can provide more objective evidence for anxiety screening to improve the accuracy of models.
no code implementations • 9 Mar 2023 • Min Zeng, Haimiao Mo, Zhiming Liang, Hua Wang
The "LFWA+FD" focuses on searching the ideal feature subset by simplifying the fireworks algorithm and constraining the dimensionality of selected features by fractal dimensionality, which in turn reduces the approximate features and reduces the noise in the original data to improve the accuracy of the model.
no code implementations • 7 Jan 2023 • Haimiao Mo, Min Zeng
The fireworks algorithm is an optimization algorithm for simulating the explosion phenomenon of fireworks.
no code implementations • 12 Aug 2022 • Haimiao Mo, Yuchen Li, Shanlin Yang, Wei zhang, Shuai Ding
To address these issues, we propose a framework with spatiotemporal feature fusion for detecting anxiety nonintrusively.
1 code implementation • 17 Nov 2020 • Haimiao Mo, Shuai Ding, Shanlin Yang, Athanasios V. Vasilakos, Xi Zheng
We proposed a non-contact respiratory rate monitoring system with a cooperative three-layer design to increase the precision of respiratory monitoring and decrease data transmission latency.