基本信息
岳康  男  硕导  中国科学院软件研究所
电子邮件: yuekang@iscas.ac.cn
通信地址: 北京市海淀区中国科学院软件研究所5号楼715
邮政编码:

招生信息

   
招生专业
081203-计算机应用技术
招生方向
用户状态感知与干预;脑机交互

工作经历

   

专利与奖励

   
奖励信息
(1) 中国图象图形学学会科技进步一等奖, 一等奖, 部委级, 2021
专利成果
( 1 ) 基于脑电信号的立体显示视疲劳评价方法、系统、装置, 发明专利, 2019, 第 2 作者, 专利号: CN110215206A

出版信息

   
发表论文
[1] 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)null. 2024, [2] Hu, Haochen, Yue, Kang, Guo, Mei, Lu, Kai, Liu, Yue. Subject Separation Network for Reducing Calibration Time of MI-Based BCI. BRAIN SCIENCES[J]. 2023, 13(2): http://dx.doi.org/10.3390/brainsci13020221.
[3] Xiao, Yi, Liu, Tong, Han, Yu, Yue, Kang, Liu, Yue. Investigation of the turning speed for immersive environments using freehand-based technique. JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY[J]. 2022, 30(12): 894-904, http://dx.doi.org/10.1002/jsid.1176.
[4] 岳康. ReAGFormer: Reaggregation Transformer with Affine Group Features for 3D Object Detection. ACCVnull. 2022, [5] 岳康. A Novel Neurofeedback Attentional Enhancement Approach Based on Virtual Reality. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018)null. 2022, [6] Haochen HU, Yue LIU, Kang YUE, Yongtian WANG. Navigation in virtual and real environment using brain computer interface:a progress report. 虚拟现实与智能硬件中英文[J]. 2022, 4(2): 89-114, http://lib.cqvip.com/Qikan/Article/Detail?id=7106911886.
[7] Guo, Mei, Yue, Kang, Hu, Haochen, Lu, Kai, Han, Yu, Chen, Shanshan, Liu, Yue. Neural Research on Depth Perception and Stereoscopic Visual Fatigue in Virtual Reality. BRAIN SCIENCES[J]. 2022, 12(9): http://dx.doi.org/10.3390/brainsci12091231.
[8] 岳康. Evaluating 3D visual fatigue induced by VR headset using EEG and self-attention CNN. IEEE VRnull. 2022, [9] Yue, Kang, Guo, Mei, Liu, Yue, Hu, Haochen, Lu, Kai, Chen, Shanshan, Wang, Danli. Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2022, 26(7): 2963-2973, [10] Yue, Kang, Wang, Danli. Investigating the neural activity of various 3D visual fatigue degrees using depth-related visual evoked potentials. JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY[J]. 2021, 29(3): 196-206, https://www.webofscience.com/wos/woscc/full-record/WOS:000592374400001.
[11] Yue, Kang, Wang, Danli, Chiu, Steve C, Liu, Yue. Investigate the 3D Visual Fatigue Using Modified Depth-Related Visual Evoked Potential Paradigm. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING[J]. 2020, 28(12): 2794-2804, http://dx.doi.org/10.1109/TNSRE.2021.3049566.
[12] Yue, Kang, Wang, Danli. EEG-Based 3D Visual Fatigue Evaluation Using CNN. ELECTRONICS[J]. 2019, 8(11): http://ir.ia.ac.cn/handle/173211/28362, http://www.irgrid.ac.cn/handle/1471x/6862440.
[13] Song, Yaguang, Wang, Danli, Yue, Kang, Zheng, Nan, Shen, ZuoJun Max, IEEE. EEG-Based Motor Imagery Classification with Deep Multi-Task Learning. 2019INTERNATIONALJOINTCONFERENCEONNEURALNETWORKSIJCNNnull. 2019, [14] 王丹力, 杨心盼, 岳康, 胡海琛. 基于ECG的立体3D显示视疲劳的评估和建模. 系统仿真学报[J]. 2019, 212-217, http://lib.cqvip.com/Qikan/Article/Detail?id=88847090504849574850484854.
[15] Niu, Yunfang, Wang, Danli, Wang, Ziwei, Sun, Fan, Yue, Kang, Zheng, Nan. User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY[J]. 2019, 63(6): https://www.webofscience.com/wos/woscc/full-record/WOS:000508022200014.
[16] Yaguan Song, Danli Wang, Kang Yue, Nan Zheng. DeepFatigueNet: A Model for Automatic Visual Fatigue Assessment Based on Raw Single‐Channel EEG. SID[J]. 2019, [17] Yue, Kang, Wang, Danli, Hu, Haichen, Fang, Sun. The correlation between visual fatigue and duration of viewing as assessed by brain monitoring. JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY[J]. 2018, 26(7): 427-437, http://ir.ia.ac.cn/handle/173211/28363, http://www.irgrid.ac.cn/handle/1471x/6862441.
[18] 岳康, 王丹力, 胡海琛, 杨心盼, Steve C Chiu. Compare and Model Multi-level Stereoscopic 3D Visual Fatigue. 2017, http://ir.ia.ac.cn/handle/173211/28365.
[19] 岳康, 王丹力, 杨心盼, 胡海琛, 刘玉庆, 朱秀庆. Evaluation of the user experience of "astronaut training system": An Immersive, VR-Based, Motion-Training System. 2016, http://ir.ia.ac.cn/handle/173211/28364.

科研活动

   
科研项目
( 1 ) 面向虚拟场景的连续自适应学习方法研究, 负责人, 国家任务, 2021-01--2023-12