毕路拯
作者: Li, Hongqi1; Bi, Luzheng2; Li, Xiaoya3; Gan, Hongping1 (1School of Software, Northwestern Polytechnical University, Xian, China;2School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;3School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China)
出处: IEEE Transactions on Intelligent Transportation Systems 2024 P1-11
发明人: 毕路拯,王佳蓉,费炜杰
申请人: 北京理工大学
申请号: 202310148622.8
申请日期: 2023.02.14
摘要: 本发明公开了一种神经表征驱动的手部运动的深度学习解码方法及系统,包括:获取脑电图信号,对所述脑电图信号进行特征提取,获取运动相关皮层电位特征和事件相关同步化/去同步化振荡特征;基于所述运动相关皮层电位特征和所述事件相关同步化/去同步化振荡特征,获取时间‑频谱‑空间特征图;对所述时间‑频谱‑空间特征图 ...
发明人: 罗龙溪,陈昱,毕路拯,梅家豪,刘铭豪
申请人: 北京理工大学
申请号: 202310063092.7
申请日期: 2023.01.18
摘要: 本发明公开了一种无人机探测方法,包括:获取视频数据,对所述视频数据进行灰度值分析和连通性分析,得到含有目标的图像数据,对图像数据进行像素点分析判断,根据分析判断结果得到含有飞行物的视频数据,对含有飞行物的视频数据中的未知飞行物进行距离判断,得到距离判断结果,基于距离判断结果对含有飞行物的视频数据进行 ...
发明人: 罗龙溪,刘铭豪,毕路拯,梅家豪,陈昱
申请人: 北京理工大学
申请号: 202311443100.7
申请日期: 2023.11.01
摘要: 本发明公开了一种基于视觉的驾驶人警觉性连续检测方法,包括:获取驾驶员视频图像,建立并训练检测和分割网络,基于所述检测和分割网络对视频图像中的人脸、眼睛和虹膜进行级联目标检测,获取检测结果;基于检测结果,进行人眼虹膜位移跟踪,并滤除由眨眼引起的位移伪影,获得人眼和虹膜的位移变化;通过所述人眼和虹膜的位 ...
发明人: 费炜杰,徐新博,毕路拯,斐乐
申请人: 北京理工大学
申请号: 202311530029.6
申请日期: 2023.11.16
摘要: 本发明公开了一种类听觉系统驱动的脑机接口听觉空间注意力检测系统,包括:信号采集模块、信号处理模块和整合模块;所述信号采集模块用于采集脑电信号并对所述脑电信号进行预处理,得到脑电信号判别窗;所述信号处理模块用于对所述脑电信号判别窗进行解码,得到时间特征和空间特征;所述整合模块用于将所述时间特征和所述空 ...
作者: Jiarong Wang1;Luzheng Bi1;Weijie Fei1; (1School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China)
出处: IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023 Vol.31 P1
关键词: Decoding;Electroencephalography;Kinematics;Task analysis;Visualization;Brain modeling;Wrist
摘要: Motor brain-computer interface (BCI) refers to the BCI that decodes voluntary motion intentions from brain signals directly and outputs corresponding ...
作者: Longxi Luo1;Minghao Liu1;Jiahao Mei1;Yu Chen1;Luzheng Bi1; (1School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100080, China)
出处: Applied Sciences 2023 Vol.13 No.22 P12176
关键词: visual perception;environmental quantification;driving simulation;driving behavior modeling
摘要: The decision-making behavior of drivers during the driving process is influenced by various factors, including road conditions, traffic situations, we ...
作者: Luo, Longxi1;Liu, Minghao1;Mei, Jiahao1;Chen, Yu1;Bi, Luzheng1 (1Beijing Inst Technol, Sch Mech Engn, Beijing 100080, Peoples R China.)
出处: APPLIED SCIENCES-BASEL 2023 Vol.13 No.22
关键词: CAR-FOLLOWING BEHAVIOR; VEHICLES; SYSTEM; ROAD
摘要: The decision-making behavior of drivers during the driving process is influenced by various factors, including road conditions, traffic situations, we ...
作者: Jiarong Wang;Luzheng Bi;Aberham Genetu Feleke;Weijie Fei (1School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China)
出处: IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023 Vol.31 P1384-1393
关键词: Decoding;Electroencephalography;Brain modeling;Discrete wavelet transforms;Oscillators;Low-pass filters;Deep learning
摘要: Motor brain-computer interface (BCI) can intend to restore or compensate for central nervous system functionality. In the motor-BCI, motor execution ( ...
作者: Duo Chen;Ke Liu;Jiayang Guo;Luzheng Bi;Jing Xiang (1 School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China. 2 School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China. 3 National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China. 4 Institute of Mechatronic Systems, Beijing Institute of Technology, Beijing, China. 5 Magnetoencephalography (MEG) Center, Cincinnati Children\'s Hospital Medical Center, Cincinnati, OH, United States.)
出处: Frontiers in neurorobotics 2023 Vol.17 P1140508
关键词: Electroencephalogram (EEG);artificial intelligence;brain-computer interface (BCI);deep learning;machine learning.