Active Research

• Data-driven Haptic Modeling and Rendering

  The ultimate goal of 'Data-driven Haptic Modeling and Rendering' is to recreate a virtual object that feels exactly same to the corresponding real object. Data-driven method is one of the notable approaches for that purpose as the interaction between a user and the object is a very complicated physical process. We apply data-driven method to sophisticated haptic primitives, such as surface textures, viscoelasticity reactions, and thermal properties.

  
  
  
  
  
  

• Automatic Synthesis of 4D Effects

  Providing well-synchronized haptic effects (motion and vibrotactile effects) corresponding to audiovisual contents plays a large role in enhancing user's experience and immersiveness. A typical example is 4D system. 4D system refers to an immersive entertainment system that presents various physical effects, such as motion, vibration, wind, water, and scent with audiovisual contents. In particular, haptic effects takes almost 80% of the 4D effects . However, creating 4D effects is very labor-intensive, and it has been a major obstacle against the wider spread of 4D platforms.

  
  
  
  
  
  

• Virtual Reality System for Personalized Mental Healthcare Contents

  This project aims to enhance the mental healthcare using a virtual reality (VR) technology. We develop a customized VR system and its healthcare contents with appropriate medical backgrounds. To support users’ immersion and presence, a holistic visual-audio-haptic interface is facilitated.

  
  

• Tactile Perception and Emotion for Interface Design

  Perceptual process can be defined as a sequence of processes that collocated to determine our experience and response to stimuli in the environment. Among the process, our research focuses on stages of the experience and action. Specifically, this research topic investigates how to quantify the perceptual experience and assess the qualitative responses in the realm of haptics.