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Jaeyoung Park

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2

ICRA Conference 2020 Conference Paper

Design of a Parallel Haptic Device with Gravity Compensation by using its System Weight

  • Sung-moon Hur
  • Jaeyoung Park
  • Jaeheung Park
  • Yonghwan Oh

This paper proposes a 6 degree of freedom (DoF) manipulator for haptic application. The proposed haptic device, named GHap, is designed based on the four-bar-linkage mechanism for linear motion with the ring-type gimbal mechanism. To improve the force display ability, the device is designed to compensate the gravity force of the manipulator by its own weight. The conceptual mechanical design is compared by placing the third joint, which controls the four-bar mechanism, in two different configurations. The forward kinematics and the jacobian of GHap are presented. Finally, the gravity compensation method and open-loop force display performance of the proposed haptic device are validated by an experiment with the GHap prototype.

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AAAI Conference 2011 Conference Paper

A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces

  • Jaeyoung Park
  • Kee-Eung Kim
  • Yoon-Kyu Song

Most of the previous work on brain-computer interfaces (BCIs) exploiting the P300 in electroencephalography (EEG) has focused on low-level signal processing algorithms such as feature extraction and classification methods. Although a significant improvement has been made in the past, the accuracy of detecting P300 is limited by the inherently low signal-to-noise ratio in EEGs. In this paper, we present a systematic approach to optimize the interface using partially observable Markov decision processes (POMDPs). Through experiments involving human subjects, we show the P300 speller system that is optimized using the POMDP achieves a significant performance improvement in terms of the communication bandwidth in the interaction.

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