蔡涵书
职 称： 副教授、硕士生导师
所在系所： 计算机应用技术研究所
邮 箱： hcai@lzu.edu.cn
办公地址： 飞云楼316
研究方向
情感计算、普适计算、生物信息反馈等
招生专业
计算机应用技术（硕士）
计算机科学与技术（专业学位硕士）
项目成果
目前在研项目：
2019.12–2024.11，国家重点研发计划，2019YFA0706200，基于心理生理多模态信息的抑郁障碍早期识别与干预方法，子课题负责人。
发表论文及专著
近5年主要论文如下：
- Cai H, Qu Z, et al. Feature-level fusion approaches based on multimodal EEG data for depression recognition[J]. Information Fusion. 2020, 59 (2020): 127-138. (SCI 一区 IF 10.716)
- Cai H, Zhang X, et al. A Case-based Reasoning Model for Depression based on Three-electrode EEG Data[J]. IEEE Transactions on Affective Computing. 2018. (SCI 二区 IF 6.288)
- Cai H, Han J, et al. A Pervasive Approach to EEG-based Depression Detection[J]. Complexity. 2018. (SCI 二区 IF 591)
- Cai H, Chen Y, et al. Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG Data[J]. Interdisciplinary Sciences: Computational Life Sciences. 2018, 2018: 1-8. (SCI 三区 IF 418)
- Cai H, Zhang Y, et al. Study on Depression Classification Based on Electroencephalography Data Collected by Wearable Devices[C]. 2017 International Conference on Brain Informatics. Springer, Cham, 2017: 244-253. (EI)
- Cai H, Wang Z, et al. A Virtual-Reality Based Neurofeedback Game Framework for Depression Rehabilitation using Pervasive Three-Electrode EEG Collector[C]. Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing. ACM, 2017: 173-176. (EI)
- Cai H, Sha X, et al. Pervasive EEG diagnosis of depression using Deep Belief Network with three-electrodes EEG collector[C]. Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on. IEEE, 2016: 1239-1246. (CCF B类)
- Cai H, Wei S, et al. Brief Discussion on Current Computerized Cognitive Behavioral Therapy[C]. International Conference on Brain Informatics and Health. Springer, Cham, 2015: 420-431. (EI)
- Cai H, Wang Z, et al. A Novel Depression Rehabilitation Game Framework Using VR Based on Neurofeedback[J]. 计算机工程, 2018, 44(10): 264-273,280. (CSCD)
社会工作
2019.6 – 至今 担任中国医学救援协会神经生物反馈治疗与干预分会副秘书长