Xin Wei

Xin Wei

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 understanding humans through perceptual, physiological, and behavioral sensing. I explore how signals such as eye movements, muscle activity, and affective dynamics can be measured and interpreted to reveal health condition, internal states, intentions, and perceptual changes. By deepening our understanding of these human signals, I aim to develop technologies that can perceive, predict, and respond to people in more natural, supportive, and health-aware ways. Ultimately, I hope to create seamless and unobtrusive sensing systems that enhance everyday life—tools that monitor well-being without disruption, assist people intuitively when needed, and address real-world challenges by fitting effortlessly into the rhythms of daily living.

Latest News

  • 2026-01 Our paper “Electrooculography-Based Detection of Refractive Vision Problems” was published in IEEE JBHI (2026).
  • 2025-11 Our paper “Electro-Oculography and Proprioceptive Calibration Enable Horizontal and Vertical Gaze Estimation, Even with Eyes Closed” was published in Sensors (2025).
  • 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 I gave a oral presentation about our work “From the movement of my opponent” at the ACII 2025.
  • 2025-10 Our paper “Mind Your Vision” got accepted by MUM 2025.
  • 2025-06 Two papers got accepted by ACII 2025.
  • 2025-04 Honored to be selected for JSPS Research Fellowships for Young Scientists DC2.
  • 2025-03 Our paper “UMotion” got accepted by CVPR 2025 (Highlight).

Research

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

Electrooculography-Based Detection of Refractive Vision Problems
Electrooculography-Based Detection of Refractive Vision Problems
Xin Wei, Huakun Liu, Yutaro Hirao, Monica Perusquia-Hernandez, Katsutoshi Masai, Hideaki Uchiyama, Kiyoshi Kiyokawa
IEEE JBHI 2026
Electro-Oculography and Proprioceptive Calibration Enable Horizontal and Vertical Gaze Estimation, Even with Eyes Closed
Electro-Oculography and Proprioceptive Calibration Enable Horizontal and Vertical Gaze Estimation, Even with Eyes Closed
Xin Wei, Felix Dollack, Kiyoshi Kiyokawa, Monica Perusquia-Hernandez
Sensors 2025
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

  • CHI
  • IEEE VR
  • ICMI
  • Augmented Humans
  • FG
  • IEEE TAFFC

More about me

Some of my other interests are