胡佛

博士，东北大学。目前研究方向为人工智能、脑机接口和人机交互等。主持浙江省自然科学基金探索青年项目、宁波市“科创甬江2035”关键技术突破计划项目和文旅部重点实验室（浙江音乐学院）开放基金课题1项。近5年来，以第一作者或通讯作者身份在IEEE TITS、IEEE TNSRE和IJNS等国际权威期刊或会议上发表SCI论文8篇，会议论文3篇。

最新动态：

近期承担Sensors期刊Special issue客座编辑一职，特刊主题为：EEG-Based Brain–Computer Interfaces: Research and Applications，望不吝赐稿（截止日期：2025.12.31）。

Potential Topics Include, But Are Not Limited To:

[1] Advanced signal processing techniques for EEG-BCI

[2] Machine learning and deep learning applications in BCIs

[3] Neurofeedback and cognitive enhancement using EEG-BCIs

[4] EEG-based disease diagnosis

[5] BCIs in clinical settings

[6] Novel BCI paradigms and application

投稿链接：https://www.mdpi.com/journal/sensors/special_issues/Z8W44FG945

[1] 浙江省自然科学基金—探索青年项目：基于混合脑机接口和多模态深度学习技术的步态康复行为识别方法研究(LQ23F030015)，10万，2023-01-01至2025-12-31，主持；

[2] 宁波市“科创甬江2035”关键技术突破计划项目：基于生机电融合的康复机器人关键技术与系统研发，210万元，2024-04-01至2027-3-1，参与单位负责人，主持；

[3] 2023年数字音乐智能处理技术文化和旅游部重点实验室（浙江音乐学院）开放基金课题：基于神经音乐治疗和脑机智能的步态康复系统研究(CAADAI20222A001)，3万，2024-01-01至2025-12-31，主持；

[4] 16XX科技研发项目：JG-XX-2024001，180万，2024-01-01至2025-12-31，参与；

[5] 杭州市人工智能重大科技创新项目：基于人工智能芯片的智能传感器监测预警系统平台的研发与应用（2022AIZD0144），2023-01-01至2026-12-31，参与；

期刊论文：

[1] Fo Hu, Lekai Zhang, Xusheng Yang, Wen-An Zhang. EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network With Brain Region Partitioning Strategy, IEEE Transactions on Intelligent Transportation Systems, 2024, 25(8): 9618-9630.

[2] Fo Hu, Mengyuan Qian, Kailun He, Wen-an Zhang, Xusheng Yang. A Novel Multi-Feature Fusion Network with Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2024, 32: 3878-3890.

[3] Fo Hu, Kailun He, Mengyuan Qian, Xiaofeng Liu, Zukang Qiao, Lekai Zhang and Junlong Xiong. STAFNet: An adaptive multi-feature learning network via spatiotemporal fusion for EEG-based emotion recognition[J]. Frontiers in Neuroscience. 2024. (Accept).

[4] Fo Hu, Peipei Yao, Kailun He, XushengYang, Mohamed Amin Gouda, Lekai Zhang. Effects of Emotional Olfactory Stimuli onModulating Angry Driving Based on An EEG Connectivity Study[J]. International Journal of Neural Systems.

[5] Fo Hu, Hong Wang, Qiaoxiu Wang, Naishi Feng, Jichi Chen, and Tao Zhang. Acrophobia Quantified by EEG Based on CNN Incorporating Granger Causality[J]. International Journal of Neural Systems, 2021, 31(3).

[6] Fo Hu, Hong Wang, Naishi Feng, Bin Zhou, Chunfeng Wei, Yanzheng Lu, Yangyang Qi, Xiaocong Jia, Hao Tang, and Mohamed Amin Gouda. A novel fusion strategy for locomotion activity recognition based on multimodal signals[J]. Biomedical Signal Processing and Control, 2021, 67.

[7] Fo Hu, Kailun He, Mohamed Amin Gouda. TFN-FICFM: sEMG-Based Gesture Recognition Using Temporal Fusion Network and Fuzzy Integral-based Classifier Fusion. Journal of Bionic Engineering, 2024: 21: 1878-1891.

[8] Lekai Zhang, Yingfan Wang, Kailun He, Hailong Zhang, Baixi Xing, Xiaofeng Liu, and Fo Hu*. The power of humorous audio: exploring emotion regulation in traffic congestion through EEG-based study[J]. EURASIP Journal on Audio, Speech, and Music Processing, 2023, 2023(1): 34.

会议论文：

[1] Naishi Feng, Fo Hu*, Hong Wang, and Ziqi Zhao. Hybrid Graph Convolutional Networks for Skeleton-Based and EEG-Based Jumping Action Recognition[C]. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Prague, Czech Republic, 2021:4156-4161.

[2] Fo Hu, Hong Wang, Jichi Chen, and Jiale Gong. Research on the characteristics of acrophobia in virtual altitude environment[C]. 2018 IEEE International Conference on Intelligence and Safety for Robotics (ICISR). Shenyang , China, 2018:238-243.

[3]胡佛,沈浩铭,杨旭升,等.基于多分支混合图时空卷积网络的骨架运动预测[C]//中国自动化学会.2023中国自动化大会论文集. 2023:6.DOI:10.26914/c.cnkihy.2023.092596.

研究生竞赛指导：

[1] 2022“移动应用创新赛”全国一等奖。

[2] 2022“移动应用创新赛”全国三等奖。

[3] 2022“兆易创新杯”第十七届中国研究生电子设计竞赛华东赛区三等奖。

[4] 2023“兆易创新杯”第十八届中国研究生电子设计竞赛华东赛区三等奖。

[5] 2024“兆易创新杯”第十九届中国研究生电子设计竞赛全国一等奖。