Huakun Liu

Huakun Liu

Ph.D. student at CARE Lab, NAIST

Cybernetics and Reality Engineering Laboratory (CARE Lab)
Nara Institute of Science and Technology (NAIST)
Ikoma, Nara, Japan

I am a third-year Ph.D. student at the Nara Institute of Science and Technology (NAIST) in Japan, where I am a member of the Cybernetics and Reality Engineering (CARE) Laboratory under the supervision of Prof. Kiyoshi Kiyokawa.

My research interests broadly lie in human motion understanding, spanning areas such as motion capture, analysis, and perceptual modeling. I aim to explore how human motion can be measured, interpreted, and synthesized from both physical and perceptual perspectives. By deepening our understanding of human motion, I seek to contribute to technologies that can perceive, predict, and respond to human behavior in more natural and human-centered ways, supporting intuitive human-computer interaction, empathetic machines, and embodied forms of digital communication. Beyond motion understanding, I am deeply interested in sensor-based approaches to human behavior, including IMU, UWB, ultrasonic, EOG, and EMG technologies. I explore how these sensing modalities can be used to integrate physical, physiological, and perceptual information, offering new possibilities for modeling and interpreting complex human activities.

Latest News

  • 2025-10 Our paper “From the movement of my opponent: Temporal gesture recognition from electromyography in the Rock-Paper-Scissors game” got the Best Student Paper Award at the ACII 2025.
  • 2025-10 Our paper “Mind Your Vision” got accepted by MUM 2025.
  • 2025-09 We won the 1st place in the Twelfth Indoor Localization Competition (Smartphone with Navigation Robot Track) at the IPIN 2025 (結構圧倒的な優勝でした).
  • 2025-08 I started my research scientist internship at LINEヤフー Virtual Human Lab (Led by Kent Fujiwara).
  • 2025-07 I gave a talk about our work “UMotion” at MIRU 2025.
  • 2025-06 Two papers got accepted by ACII 2025.
  • 2025-03 Our paper “UMotion” got accepted by CVPR 2025 (Highlight).
  • 2024-09 We won the 1st place in the Eleventh Indoor Localization Competition (Smartphone-based Track) at the IPIN 2024.

Research

For a complete list of publications, please refer to my Google Scholar profile.

From the movement of my opponent: Temporal gesture recognition from electromyography in the Rock-Paper-Scissors game
From the movement of my opponent: Temporal gesture recognition from electromyography in the Rock-Paper-Scissors game
Xin Wei, Huakun Liu, Felix Dollack, Monica Perusquia-Hernandez
International Conference on Affective Computing and Intelligent Interaction (ACII), 2025 (Best Student Paper Award)
Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions
Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions
Huakun Liu, Miao Cheng, Xin Wei, Felix Dollack, Victor Schneider, Hideaki Uchiyama, Chia-Huei Tseng, Yoshifumi Kitamura, Monica Perusquia-Hernandez
International Conference on Affective Computing and Intelligent Interaction (ACII), 2025 (Oral Presentation)
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
Huakun Liu, Hiroki Ota, Xin Wei, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyoshi Kiyokawa
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (Highlight)
DUET: Improving Inertial-Based Odometry via Deep IMU Online Calibration
DUET: Improving Inertial-Based Odometry via Deep IMU Online Calibration
Huakun Liu, Xin Wei, Monica Perusquia-Hernandez, Naoya Isoyama, Hideaki Uchiyama, Kiyoshi Kiyokawa
IEEE Transactions on Instrumentation and Measurement
Unobtrusive Refractive Power Monitoring: Using EOG to Detect Blurred Vision
Unobtrusive Refractive Power Monitoring: Using EOG to Detect Blurred Vision
Xin Wei, Huakun Liu, Monica Perusquia-Hernandez, Katsutoshi Masai, Naoya Isoyama, Hideaki Uchiyama, Kiyoshi Kiyokawa
Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023
Ensemble learning to assess dynamics of affective experience ratings and physiological changes
Ensemble learning to assess dynamics of affective experience ratings and physiological changes
(In alphabetical order) Felix Dollack, Kiyoshi Kiyokawa, Huakun Liu, Monica Perusquia-Hernandez, Chirag Raman, Hideaki Uchiyama, Xin Wei
International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2023

Awards & Honors

Academic Service

Reviewer

  • IEEE VR
  • ICMI
  • SUI
  • Augmented Humans
  • IEEE Transactions on Instrumentation and Measurement

More about me

Some of my other interests are