Jung Kim 교수

Human skin perceives physical stimuli applied to the body and mitigates the risk of physical interaction through its soft and resilient mechanical properties. Social robots would benefit from whole-body robotic skin (or tactile sensors) resembling human skin in realizing a safe, intuitive, and contact-rich human-robot interaction. However, existing soft tactile sensors show several drawbacks (complex structure, poor scalability, and fragility), which limit their application in whole-body robotic

The extent to which the addition of haptic communication between human users in a shared virtual environment (SVE) contributes to the shared experience of the users has not received much attention in the literature. In this paper we describe a demonstration of and an experimental study on haptic interaction between two users over a network of significant physical distance and a number of network hops. A number of techniques to mitigate instability of the haptic interactions induced by network la

This thesis focuses on the combination of a set of artificial immune algorithms and their application to intrusion detection. Three evolutionary algorithms are investigated, each based on a process from the human immune system. It is demonstrated that these three algorithms, negative selection, clonal selection and gene library evolution, lead to self-organisation in the artificial immune system (AIS). In addition, the attributes required for effective intrusion detection are analysed in depth.

High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup is essential for health care and human-machine interfaces (HMIs). Microneedle electrodes allow direct access to the epidermis and eliminate time-consuming skin preparation. However, existing microneedle electrodes lack elasticity and reliability required for robust skin interfacing, thereby making long-term, high-quality EP sensing challenging during body movement. Here, we introduce a stretchable

The palmar pinch force estimation is highly relevant not only in biomechanical studies, the analysis of sports activities, and ergonomic design analyses but also in clinical applications such as rehabilitation, in which information about muscle forces influences the physician's decisions on diagnosis and treatment. Force transducers have been used for such purposes, but they are restricted to grasping points and inevitably interfere with the human haptic sense because fingers cannot directly tou

Cell lysis is an essential task for the detection of intracellular components. In this work, we introduce novel microfluidic devices integrated with patterned one-dimensional nanostructure arrays for facile and high-throughput mechanical cell lysis. The geometry of the hydrothermally grown ZnO nanowires, characterised by sharp tips and high aspect ratios, aids in anchoring the cell and tearing the plasma membrane, enabling simple and highly efficient extraction of cellular proteins and nucleic a

Integration of functional nanostructures within a microfluidic device can synergize the advantages of both unique properties of nanomaterials and diverse functionalities of microfluidics. In this paper, we report a novel and simple method for the in situ synthesis and integration of ZnO nanowires by controlled hydrothermal reaction within microfluidic devices. By modulating synthesis parameters such as the seed preparation, synthesis time, and heating locations, the morphology and location of sy

Although many efforts have been undertaken to develop an interface using surface electromyography (sEMG) to connect the gap between a human and a wrist prosthesis, most of these efforts have offered only static positioning (ON/OFF) of the prosthesis. This study introduced synergy matrices to extract fluid wrist movement intents by sEMG to allow individuals with wrist amputations to use wrist prostheses. A non-negative muscle synergy matrix was used to map muscle activities in the forearm into fo