Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jong-Gyu Shin"'
Autor:
Ga-Young Choi, Jong-Gyu Shin, Ji-Yoon Lee, Jun-Seok Lee, In-Seok Heo, Ha-Yeong Yoon, Wansu Lim, Jin-Woo Jeong, Sang-Ho Kim, Han-Jeong Hwang
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Electroencephalography (EEG)-based open-access datasets are available for emotion recognition studies, where external auditory/visual stimuli are used to artificially evoke pre-defined emotions. In this study, we provide a novel EEG dataset
Externí odkaz:
https://doaj.org/article/cbce61ea960e432a8f4ce996949dcb4a
Autor:
Jong-Ha Woo, K. Krishna Sahithi, Seong-Taek Kim, Geun-Ryeong Choi, Beom-Su Kim, Jong-Gyu Shin, Sang-Ho Kim
Publikováno v:
IEEE Access, Vol 11, Pp 127107-127118 (2023)
Exoskeleton robots that provide physical assistance to workers at industrial sites have recently been advanced by utilizing various bio-signal measurement sensors and artificial intelligence. However, their commercialization speed is slow compared to
Externí odkaz:
https://doaj.org/article/7b2a4e75da6e4efd8948f6b5921ee6e7
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1541 (2022)
Innovative sociotechnical change is forthcoming because of autonomous driving; however, only a few studies have focused on the acceptance of this technology, which is not up to social expectation. In this study, we present and validate a research fra
Externí odkaz:
https://doaj.org/article/58697d502d45466081b4c794bdd12c67
Autor:
Jong-Gyu Shin, Sang-Ho Kim
Publikováno v:
Sensors, Vol 21, Iss 13, p 4583 (2021)
Objective: The purpose of this study was to verify changes in a driver’s emotions through the physical characteristics of haptic signals. This is to improve the performance of drivers by designing haptic signals with emotional semantics. Background
Externí odkaz:
https://doaj.org/article/8e3a94141305495d9ca4c55b5097a5db
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1920 (2021)
With the development of artificial intelligence technology, voice-based intelligent systems (VISs), such as AI speakers and virtual assistants, are intervening in human life. VISs are emerging in a new way, called human–AI interaction, which is dif
Externí odkaz:
https://doaj.org/article/333dcc10d374471398b352132f21c29e
Kano model of autonomous driving user acceptance according to driver characteristics: A survey study
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 91:73-86
Publikováno v:
Korean Society for Emotion and Sensibility. 25:127-134
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Sustainability
Volume 12
Issue 7
Sustainability, Vol 12, Iss 3030, p 3030 (2020)
Volume 12
Issue 7
Sustainability, Vol 12, Iss 3030, p 3030 (2020)
The purpose of this study is to develop a framework that can identify critical human factors (HFs) that can generate human errors and, consequently, accidents in autonomous driving level 3 situations. Although much emphasis has been placed on develop
Publikováno v:
Industrial Engineering & Management Systems. 16:604-618