• Failure
NMAIL@KAIST
  • Vision
  • Family
    • Principal Investigators
      • Professor
      • Postdoctoral Associates
    • Research Assistants
    • Lab Administrator
  • Research
    • ROBOTIC INTELLIGENCE
      • Soft Robotic Intelligence
      • Visonal Intelligence
      • Physically Embodied Intelligence
    • NEURO-HYBRID INTELLIGENCE
      • Affective Intelligence
      • Brain-Computer Interfaces
      • Muscle-Machine Interfaces
      • Animal Computing
    • AUGMENTED INTELLIGENCE
      • Sensory Intelligence
      • Biomedical Intelligence/AI for Healthcare
      • Deep Chemometrics
    • OHTER RESEARCH
      • Undergraduate Research Program
      • High School Research & Education Program
      • Miscellaneous
  • Publications
    • Journal Publications
    • Conference Proceedings
    • Theses
  • Courses
  • Contacts
  • In the Media
  • Software
  • Failure
  • Search for:

Affective Intelligence

We have investigated a deep learning model which detects human affection in daily life. We expect to learn what affects human mentality or better understand it.

Featured Video Play Icon
Affective Intelligence
Biomedical Intelligence/AI for Healthcare
Brain-Computer Interfaces

Affect-driven Robot Behavior Learning System using EEG

Learning from human feedback using event related electroencephalography (EEG) signals has attracted extensive attention recently owing to their intuitive communication ability by decoding user intentions. However, this approach requires users to perform specified tasks and Read more…

By , 4 years ago September 8, 2021
Affective Intelligence
Brain-Computer Interfaces

Daily life emotion dynamics tracking through wearable device

Past research on recognizing human affect has made use of a variety of physiological sensors in many ways. Nonetheless, how affective dynamics are influenced in the context of human daily life has not yet been Read more…

By , 7 years ago November 14, 2018
Affective Intelligence
Brain-Computer Interfaces

Affective situation labeling for emotion recognition in daily life

This study proposes a computational framework for providing affective labels to real-life situations. We first define an affective situation as a specific arrangement of affective entities relevant to emotion elicitation in an affective situation. Then, Read more…

By , 7 years ago November 1, 2018
Featured Video Play Icon
Affective Intelligence
Biomedical Intelligence/AI for Healthcare

Deep Physiological Affect Network for Emotion Monitoring

  We propose a robust physiological model for the recognition of human emotions, which is based on a Convolutional Long Short-Term Memory network and a temporal margin-based loss function. Formulating the emotion recognition problem as Read more…

By , 7 years ago April 19, 2018
  • Copyright KAIST Neuro-Machine Augmented Intelligence Lab. All Rights Reserved.
Hestia | Powered by WordPress