Výsledky vyhledávání - "Hyun-Tae Jeong"

Multi-Path and Group-Loss-Based Network for Speech Emotion Recognition in Multi-Domain Datasets

Autor: Kyoung Ju Noh, Chi Yoon Jeong, Jeong Mook Lim, Hyun-Tae Jeong, Gague Kim, Seungeun Chung, Jiyoun Lim

Publikováno v: Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 1579, p 1579 (2021)
Sensors
Volume 21
Issue 5

Speech emotion recognition (SER) is a natural method of recognizing individual emotions in everyday life. To distribute SER models to real-world applications, some key challenges must be overcome, such as the lack of datasets tagged with emotion labe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d45260ac3e3874d6227eecde560bf28
http://europepmc.org/articles/PMC7956608

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An Improved Oversampling Method Based on Neighborhood Kernel Density Estimation for Imbalanced Emotion Dataset

Autor: Jiyoun Lim, Kyoung Ju Noh, Gague Kim, Seungeun Jung, Hyun-Tae Jeong

Publikováno v: Advances in Data Science and Information Engineering ISBN: 9783030717032

Classification problem of imbalanced dataset is one of the main research topics. Imbalanced dataset where majority class outnumbers minority class is more difficult to handle than balanced dataset. The ADASYN approach has tried to solve this problem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7677e826b27e877e720cebf7e65bc60
https://doi.org/10.1007/978-3-030-71704-9_36

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Fibroblasts close a void in free space by a purse-string mechanism

Autor: Avelino Dos Santos Da Costa, Kwideok Park, Ramesh Subbiah, In-Suk Choi, Jennifer Hyunjong Shin, Jung Im Na, Seung Ja Oh, Hyun Tae Jeong

How stromal cells fill voids in wounded tissue remains one of the most fundamental questions in regenerative medicine. Fibroblasts are known to fill voids by depositing extracellular matrix (ECM) proteins while migrating towards the wound site; howev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82e8f3752422501161b5889944b4472b
https://doi.org/10.1101/2020.08.15.250811

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An empirical study on finding experience sampling parameters to explain sleep quality based on dimension reduction

Autor: Ga Gue Kim, Seungeun Chung, Hyun Tae Jeong, Jiyoun Lim, Kyoung Ju Noh

Publikováno v: ICTC

The ground truth which is given a set of sensor data from life-long data whose definition are ambiguous, it is important to develop the way self-reporting without user intervention. The imperatively necessary items of self-reporting with the minimum

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5d26f135e3deb3ef0a1400afd468a4fb
https://doi.org/10.1109/ictc46691.2019.8939976

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Finding Points-of-Interest (PoIs) from Life-logging and Location Trace Data

Autor: Inyoung Hwang, Hyun Tae Jeong, Jiyoun Lim, Seungeun Chung

Publikováno v: ICTC

In this paper, we perform an analytical study on finding Points-of-Interest (PoIs) from life-logging and location trace data. The dataset is collected from thirty subjects in the real-world environment using our smartphone-based life-logging system.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d28588740a5a09a01e12416c7399bc6f
https://doi.org/10.1109/ictc46691.2019.8940021

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Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Autor: Jiyoun Lim, Kyoung Ju Noh, Gague Kim, Seungeun Chung, Hyun-Tae Jeong

Publikováno v: Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 7, p 1716 (2019)
Sensors
Volume 19
Issue 7

In this paper, we perform a systematic study about the on-body sensor positioning and data acquisition details for Human Activity Recognition (HAR) systems. We build a testbed that consists of eight body-worn Inertial Measurement Units (IMU) sensors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4b30e2c96edbb38961cfbd0704b35fe
https://pubmed.ncbi.nlm.nih.gov/30974845

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Speech Emotion Recognition Framework based on User Self-referential Speech Features

Autor: Seungeun Chung, Gague Kim, Kyoung-Ju Noh, Jiyoun Lim, Hyun-Tae Jeong

Publikováno v: GCCE

This paper proposes a SER (Speech Emotion Recognition) framework using user self-referential speech features, which reflect the ROC (Rate of Change) of the corresponding feature value according to the user’s emotion states. The experiments shows th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aad91cef4df9f7de6c66e53a9f44f2ba
https://doi.org/10.1109/gcce.2018.8574676

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Ensemble Classifier based on Decision-Fusion of Multiple Models for Speech Emotion Recognition

Autor: Hyun-Tae Jeong, Jiyoun Lim, Seungeun Chung, Kyoung-Ju Noh, Gague Kim

Publikováno v: ICTC

This paper proposes an ensemble classifier based on decision-fusion of multiple SER (Speech Emotion Recognition) models. The one of the multiple SER models used in this work is a typical categorical learning model for classifying the emotion labels,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::10f0c8a28a52e7fc535e8d55f97bf7ad
https://doi.org/10.1109/ictc.2018.8539502

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