焦影影

教育背景

2011.09-2017.06  上海交通大学计算机科学与技术 工学博士

2014.10-2015.03  西班牙巴斯克大学 计算机科学与人工智能  项目交流

2008.09-2011.06  安徽大学计算机应用技术 工学硕士

工作履历

2020.11-至今   常州大学 计算机系 讲师

主要研究领域：

脑-机接口(驾驶员瞌睡检测)；生物医学信号处理；深度学习

科研成果

论文：

[1] Jiao Y, Zhang Y, Zhang J. CNN-Transformer based real-time detection of driver sleep onset using EEG and EOG signals[C]. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2025.

[2] Jiao Y, Zhang Y, Liu W, Jiao Z. Detecting driver sleepiness from physiological indicators using a CNN-LSTM self-attention model[J]. IEEE Journal of Biomedical and Health Informatics, 2025.

[3] Jiao Y, He X. Recognizing drivers’ sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network[J]. Computer Methods in Biomechanics and Biomedical Engineering, 2025: 1-15.

[4] Jiao Y, He X, Jiao Z. Detecting slow eye movements using multi-scale one-dimensional convolutional neural network for driver sleepiness detection[J]. Journal of Neuroscience Methods, 2023, 397: 109939.

[5] Jiao Y, Jiang F. Detecting slow eye movements with bimodal-LSTM for recognizing drivers’ sleep onset period[J]. Biomedical Signal Processing and Control, 2022, 75: 103608.

[6] Jiao Y, Deng Y, Luo Y, Lu B L. Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks[J]. Neurocomputing, 2020, 408: 100-111.

[7] Deng Y, Jiao Y, Lu B L. Driver sleepiness detection using LSTM neural network[C]. International Conference on Neural Information Processing (ICONIP). 2018: 622-633.

[8] Jiao Y, Lu B L. Detecting driver sleepiness from EEG alpha wave during daytime driving[C]. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2017: 728-731.

[9] Jiao Y, Lu B L. An alpha wave pattern from attenuation to disappearance for predicting the entry into sleep during simulated driving[C]. International IEEE/EMBS Conference on Neural Engineering (NER). 2017.

[10] Jiao Y, Lu B L. Detecting slow eye movement for recognizing driver's sleep onset period with EEG features[C]. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016: 4658-4661.

[11] Jiao Y, Peng Y, Lu B L, et al. Recognizing slow eye movement for driver fatigue detection with machine learning approach[C]. IEEE International Joint Conference on Neural Networks (IJCNN). 2014: 4035-4041.

[12] Shi L, Jiao Y, Lu B L. Differential entropy feature for EEG-based vigilance estimation[C]. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016: 4658-4661.

专利：

1.一种驾驶员瞌睡开始状态检测方法、装置及设备；（已授权）

2.一种慢速眼动信号检测方法、装置及应用；

3.一种基于眼电信号与脑电信号的慢速眼动信号检测方法；

4.一种眨眼类别判断方法及设备。 （已授权）

研究项目

1.2021江苏省“双创博士”项目，JSSCBS20210879。

2.国家自然科学基金青年科学基金，基于脑电和眼电信号的驾驶员瞌睡生理指标和检测方法研究。2023.01-2026.01, 主持。