Ulsan National Institute of Science and Technology · 工学
Professor Joonbum Bae's research lab specializes in wearable human-machine interface systems, focusing on soft, stretchable, and flexible electronics for human motion sensing and rehabilitation. The lab develops advanced sensor and actuator technologies using liquid metal-based conductive inks—particularly eutectic gallium-indium (eGaIn)—fabricated via direct ink writing (DIW) for applications in virtual reality, hand prosthetics, and gait rehabilitation. Key research directions include multimodal sensing gloves with haptic feedback, spring-guided hand exoskeletons, and portable gait monitoring systems for clinical diagnostics and therapy. The lab emphasizes the integration of soft robotics, smart materials, and real-time signal processing to enable personalized and quantitative healthcare solutions.
Figures are computed from collected data and may differ slightly.
Abstract Virtual reality (VR) has been widely used for training, gaming, and entertainment, and the value of VR is continually increasing as a contact‐free technology. For an immersive VR experience, measuring finger movements and providing appropriate feedback to the hand are as important as visual information, given the necessity of the hands for activities in daily life. Thus, a hand‐worn VR device with motion sensors and haptic feedback is desirable. In this paper, a multimodal sensing and f
For wider applications of liquid metal-based stretchable electronics, electrical interface has remained a crucial issue due to its fragile electromechanical stability and complex fabrication steps. In this study, a direct writing-based technique is introduced to form the writing paths of conductive liquid metal (eutectic gallium–indium, eGaIn) and electrical connections to off-the-shelf metal electrodes in a single process. Specifically, by extending eGaIn wires written on a silicone substrate,
In this study, a soft sensor-based three-dimensional (3-D) finger motion measurement system is proposed. The sensors, made of the soft material Ecoflex, comprise embedded microchannels filled with a conductive liquid metal (EGaln). The superior elasticity, light weight, and sensitivity of soft sensors allows them to be embedded in environments in which conventional sensors cannot. Complicated finger joints, such as the carpometacarpal (CMC) joint of the thumb are modeled to specify the location
Given the need for stretchable sensors, many studies have been conducted on eutectic gallium-indium, which has superior properties as a conductive ink. However, it has remained a challenge to manufacture sensors in a consistent and reproducible manner because conventional mold-based fabrication still depends highly on manual techniques. To overcome this limitation, the direct ink writing was used in this study, focusing on improving the stability of writing by exploring issues related to failure
In this paper, we developed a portable and spring-guided hand exoskeleton system for exercising flexion/extension of the fingers. The exoskeleton was designed with a simple structure to aid finger motion with one degree of freedom (DOF). The desired joint trajectory of the exoskeleton was determined based on the user joint ROM and general finger motion obtained by the hand flexion/extension experiments. The design of the linkage structure was optimized to maximally satisfy the desired trajectory
Conventional gait rehabilitation treatment does not provide quantitative information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. Also the effect of rehabilitation treatment may be reduced as the rehabilitation treatment is achieved only in a clinical setting. In this paper, a mobile gait monitoring system (MGMS) is proposed for the diagnosis of abnormal gait and rehabilitation
Conventional gait rehabilitation treatment does not provide quantitative and graphical information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. In this paper, a mobile gait monitoring system (MGMS) is proposed, which helps patients self correct their gait without restriction of time and place. The proposed MGMS consists of Smart Shoes, a data acquisition board, a mobile display
In this brief, a network-based rehabilitation system, which takes advantage of the Internet, wireless communication, and control, is proposed to increase the mobility of a rehabilitation system and to enable tele-rehabilitation. In the proposed system, control algorithms and rehabilitation strategies are distributed at the central location (physiotherapist) and the local site (patient) by communicating over the Internet, and the rehabilitation device is controlled wirelessly by the controller at
Actuators for physical human-robot interaction (pHRI) such as rehabilitation or assistive systems should generate the desired torque precisely. However, the resistive and inertia loads inherent in the actuators (e.g., friction, damping, and inertia) set challenges in the control of actuators in a force/torque mode. The resistive factors include nonlinear effects and should be considered in the controller design to generate the desired force accurately. Moreover, the uncertainties in the plant dy
Actuators for physical human-robot interaction (pHRI), such as series elastic actuators, should generate the desired torque precisely. However, the resistive and inertia loads inherent in the actuators (e.g., friction, damping, and inertia) set challenges in the control of actuators in a force (torque) mode. The resistive factors include nonlinear effects and should be considered in the controller design to generate the desired force accurately. Moreover, the uncertainties in the plant dynamics
Open papers in the app to read, cite, and organize with AI.