• Affective Computing

    Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects.

  • Intelligent computer vision systems

    The complexity of intelligent computer vision systems demands novel system architectures that are capable of integrating various computer vision algorithms into a working system with high scalability.

  • Brain Computer Interaction

    Supported by National 863 Program""Visual Assisted Brain Computer Interaction" & NSFC Major Research Plan "Cognitive Computing of Visual and Auditory Information".

Latest Research


Implicit human computer interaction

Implicit human computer interaction is of the human computer interaction technology for pervasive computing. Computer systems detect the action of users by means of sensing technologies and further recognize and understand the user's intention according to the current context of the environment, which can be considered as the implicit input to the systems and thereby to provide the implicit output for the users adaptive to the current environment. Read more...


Multimodal Surveillance and Archiving Systems

The goal is to explore multimodal surveillance and archiving systems. These systems store multimedia data together with descriptive metadata enabling fast searching and retrieval based on context-based queries. The metadata shall be automatically extracted and presented as MPEG-7 data. Read more...


One Bit System

The brain computer interaction program is supported by National 863 Program""Visual Assisted Brain Computer Interaction" & NSFC Major Research Plan "Cognitive Computing of Visual and Auditory Information". Read more...


About Our Lab

The Vision & Interaction Lab in the Department of Computer Science and Technology, Tsinghua University has wide interests in the area of computer vision and interaction. Our current researches focus on implicit human computer interaction (iHCI), brain computer interaction (BCI) and visual information processing. Read More...