Myung Ho Kim
Hanyang University · 情報科学
研究室紹介
Professor Myung Ho Kim's research lab specializes in interdisciplinary studies at the intersection of biomedical engineering, signal processing, and privacy-preserving technologies. The lab focuses on speech emotion recognition using deep learning, particularly improving cross-corpus generalization through advanced neural network architectures like VACNN. It also investigates physiological and psychological responses to environmental stimuli using EEG and HRV, aiming to optimize human-comfort environments. Additionally, the lab addresses critical privacy challenges in data collection, especially in IoT and health informatics, by exploring verifiable anonymity and secure data sharing mechanisms.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Speech emotion recognition (SER) classifies emotions using low-level features or a spectrogram of an utterance. When SER methods are trained and tested using different datasets, they have shown performance reduction. Cross-corpus SER research identifies speech emotion using different corpora and languages. Recent cross-corpus SER research has been conducted to improve generalization. To improve the cross-corpus SER performance, we pretrained the log-mel spectrograms of the source dataset using o
The present study suggests that GF2 treatment attenuates alcoholic liver injury by increasing IL-10 expression and Tregs and decreasing IL-17 expression and Th17 cells.
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The Internet of Things (IoT) is now an emerging global Internet-based information architecture used to facilitate the exchange of goods and services. IoT-related applications are aiming to bring technology to people anytime and anywhere, with any device. However, the use of IoT raises a privacy concern because data will be collected automatically from the network devices and objects which are embedded with IoT technologies. In the current applications, data collector is a dominant player who enf
By using EEG and HRV, subjects were estimated on their psychological and physiological reaction when reading psychrometric chart in 7 point century font, in an environmental test room in the condition of temperature 25[℃], relative humidity 50[RH%] , air current speed 0.02[m/sec], giving variation in illuminance to 0.1, 300, 600, 1000, 1300 and 1600[lux]. As a result, it was at 1300[lux] that absolute α wave, SMR, SDNN were most vitalized, and also both sides α wave asymmetry index, SEF50, HRT,
Recently, privacy concerns about data collection have received an increasing amount of attention. In data collection process, a data collector (an agency) assumed that all respondents would be comfortable with submitting their data if the published data was anonymous. We believe that this assumption is not realistic because the increase in privacy concerns causes some respondents to refuse participation or to submit inaccurate data to such agencies. If respondents submit inaccurate data, then th
본 논문에서는 3가지 향기가 뇌파유형에 따른 피험자에게 미치는 영향과 피험자의 쾌적성 및 생산성을 향상시킬 수 있는 최적의 향기를 찾기 위한 연구를 하였다. 피험자들을 A타입과 B타입으로 분류하여 뇌파(EEG), 학습능력 및 심박동변이(HRV)를 측정하여 쾌적성, 집중력, 스트레스 및 심장박동의 변화를 분석하였다. 항온 항습실은 온도 31[<TEX>$^{\circ}C$</TEX>], 상대습도 80[RH%], 조도 1,000[lux] 및 기류 속도 0.02[m/sec]의 상대적으로 불쾌적한 조건에서 로즈마리, 쟈스민 및 헤이즐넛 향기를 이용하여 실내 환경을 변화시켜 주었다. 연구결과 쟈스민 향기가 A타입과 B타입의 상대<TEX>${\alpha}$</TEX>파, SEF50, <TEX>$\frac{SMR}{\theta}$</TEX> 및 SDNN이 활성화 되었으며, 비대칭지수, 스트레스지수 및 피로도는 감소하였다. A타입과 B타입 모두 쟈스민 향기를 선호하는 것을 알 수 있었으나, A타입이
Since construction sites are exposed to outdoor environments, working conditions are significantly dangerous. Thus, wearing of the personal protective equipments such as safety helmet is very important for worker safety. However, construction workers are often wearing-off the helmet as inconvenient and uncomportable. As a result , a small mistake may lead to serious accident . For this, checking of wearing safety helmet is important task to safety managers in field . However, due to the limited
Advances in both sensor technologies and network infrastructures have encouraged the development of smart environments to enhance people's life and living styles. However, collecting and storing user's data in the smart environments pose severe privacy concerns because these data may contain sensitive information about the subject. Hence, privacy protection is now an emerging issue that we need to consider especially when data sharing is essential for analysis purpose. In this paper, we consider
A new mechanism for writing iterators in the C++ programming language is proposed in this paper. It provides a handy notation for writing general iterators easily, and a simple semantics based-on semicoroutines. A set of useful programming idioms for use with the proposed mechanism is also presented.
Abstract Background Korean Medicine (KM) has been a vital part of healthcare, providing holistic treatment approaches for diverse conditions. With the growing demand for integration with conventional medical frameworks, the development of evidence-based clinical practice guidelines (CPGs) has become essential. These guidelines aim to ensure consistent and effective care while enhancing the credibility of KM in the global healthcare community. Methods This review comprehensively analyzed the late