Jae-hwan Bong

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Papers

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i-10 index

Research Field

1P1-B08 Feasibility of EEG as Human-Machine Interface Modality Analysis of EEG data from Brain-Machine Interface(Neurorobotics & Cognitive Robotics)

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) (2013)

Jae-Ho Chung Jae-hwan Bong Suhun Jung Shinsuk Park

Brain-signal has been studied as an input modality for human-machine interface (HMI). Using Brain-signal-based HMI, people with impaired abilities can communicate with a machine by the brain's electrical activity. This study focused on Electro Encephalo Gram (EEG) signal measurement and analysis methods related to concentration for multimodal Interface. The experiments have been performed with various tasks. The result of this study showed there are some meaningful results about threshold, selfarithmetic and eye-close activity. It can be used as a modality for brain-achine interface.

Interface (matter)

Modality (human–computer interaction)

SIGNAL (programming language)

Human–machine interface

10.1299/jsmermd.2013._1p1-b08_1

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Development of visual display with anti-vibration system for camera on MIT Cheetah robot

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) (2016)

Kim Il-Hwan Yoojin Oh Jae-hwan Bong Shinsuk Park

Recently, quadruped robots such as the MIT Cheetah robot are developed to obtain accessibility to hazardous situations where humans cannot survive. Due to the running motion of the quadruped robot, however, the camera view from the robot is unsteady and difficult to be aware of the situation around the robot. In this paper, we propose an anti-vibration system for camera to provide a steady image and intuitive human-machine interface for control of the camera view. By using motors, the rotational motion of the camera can be stabilized in three directions regardless of any movement of the robot. The direction of the camera view is controlled by following the movement of the operator's head using an IMU sensor. Applicability to cheetah robot was verified through experiment.

10.1299/jsmermd.2016.2p2-14a1

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Feasibility of EEG as Human-Machine Interface Modality Analysis of EEG data from Brain-Machine Interface

日本機械学会ロボティクス・メカトロニクス講演会講演論文集(CD-ROM) (2013)

Chung Jaeho Jae-hwan Bong Jung Suhun Shinsuk Park

Interface (matter)

Modality (human–computer interaction)

Human–machine interface

Source

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Development of Augmented reality-based display for tele-operation robotic system

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) (2016)

Dong-Hoon Kang Yoojin Oh Jae-hwan Bong Shinsuk Park Seung-Yoon Kim

It becomes increasingly essential to have unmanned robots and drones that can replace manned apparatus as to make works more efficient and safer when patrolling hazardous areas. This study introduces an enhanced display based on augmented-reality technology with markers. The display system is being developed for tele-operated robots to carry out missions inside buildings. The camera view from the camera mounted on robots is augmented by three-dimensional CAD data of buildings. This feature allows the operator to figure out paths that cameras cannot see, to compare them with CAD data, and to recognize unexpected obstacles and broken structure. The effectiveness of the developed display system was tested with a tele-operated RC car using three displays (AR video, camera video, and 2D map) in corridor type structure.

Patrolling

Drone

SAFER

Feature (linguistics)

10.1299/jsmermd.2016.1a2-14a3

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