焦影影

发布时间:2022-04-09浏览次数:1100


焦影影

博士讲师

 

常州大学

计算机与人工智能学院  阿里云大数据学院  软件学院

 

江苏常州 213164

 

E-MAIL: jiaoyingying2010@163.com

 

  

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:

-机接口(驾驶员睡意检测);生物医学信号处理;深度学习


科研成果

论文:

1.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.

2.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.

3.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.

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

5.Deng Y, Jiao Y, Lu B L. Driver Sleepiness Detection Using LSTM Neural Network. International Conference on Neural Information Processing (ICONIP). 2018:622-633. (EI)

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

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

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

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

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


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。


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。




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