Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs von Zhang, Chaoyun, Li, Rui, Kim, Woojin, Yoon, Daesub, Patras, Paul

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Driver Workload Characteristics Analysis Using EEG Data From an Urban Road von Kim, Hyun Suk, Hwang, Yoonsook, Yoon, Daesub, Choi, Wongeun, Park, Cheong Hee

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Study on the Take‐over Performance of Level 3 Autonomous Vehicles Based on Subjective Driving Tendency Questionnaires and Machine Learning Methods von Kim, Hyunsuk, Kim, Woojin, Kim, Jungsook, Lee, Seung‐Jun, Yoon, Daesub, Kwon, Oh‐Cheon, Park, Cheong Hee

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Factors affecting real‐time evaluation of muscle function in smart rehab systems von Joe, Hyunwoo, Kim, Hyunsuk, Lee, Seung‐Jun, Park, Tae Sung, Shin, Myung‐Jun, Hooman, Lee, Yoon, Daesub, Kim, Woojin

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Comparing multimodal physiological responses to social and physical pain in healthy participants von Jang, Eun-Hye, Eum, Young-Ji, Yoon, Daesub, Sohn, Jin-Hun, Byun, Sangwon

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A novel study on subjective driver readiness in terms of non-driving related tasks and take-over performance von Kim, Jungsook, Kim, Woojin, Kim, Hyun-Suk, Lee, Seung-Jun, Kwon, Oh-Cheon, Yoon, Daesub

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Machine learning-based classification analysis of knowledge worker mental stress von Kim, Hyunsuk, Kim, Minjung, Park, Kyounghyun, Kim, Jungsook, Yoon, Daesub, Kim, Woojin, Park, Cheong Hee

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A Validation Study on a Subjective Driving Workload Prediction Tool von Hwang, Yoonsook, Yoon, Daesub, Kim, Hyun Suk, Kim, Kyong-Ho

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Predicting the EEG Level of a Driver Based on Driving Information von Kim, Hyun Suk, Yoon, Daesub, Shin, Hyun Soon, Park, Cheong Hee

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Quantitative prediction of mental workload with the ACT-R cognitive architecture von Jo, Seongsik, Myung, Rohae, Yoon, Daesub

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Interpretable Support Vector Machine and Its Application to Rehabilitation Assessment von Kim, Woojin, Joe, Hyunwoo, Kim, Hyun-Suk, Yoon, Daesub

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A Study on Re-Engagement and Stabilization Time on Take-Over Transition in a Highly Automated Driving System von Kim, Hyunsuk, Kim, Woojin, Kim, Jungsook, Lee, Seung-Jun, Yoon, Daesub, Jo, Junghee

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Study on the Take-over Performance of Level 3 Autonomous Vehicles Based on Subjective Driving Tendency Questionnaires and Machine Learning Methods von Hyunsuk Kim, Woojin Kim, Jungsook Kim, Seung-Jun Lee, Daesub Yoon, Oh-Cheon Kwon, Cheong Hee Park

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Factors affecting real-time evaluation of muscle function in smart rehab systems von Hyunwoo Joe, Hyunsuk Kim외 6명

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Design Considerations for Automated Crane Assignment von Lee, Seung-Jun, Koo Lee, Yang, Yoon, Daesub

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Evaluation of UWB-Based Indoor Positioning in Smart Factory Environment von Lee, Yang Koo, Lee, Seung-Jun, Yoon, Daesub

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Applying CPM-GOMS Analysis for Predicting and Explaining Two-Handed Korean Text Entry Task on Mobile Phone von Back, Jiseung, Myung, Rohae, Yoon, Daesub

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Requirements for Upper-Limb Rehabilitation with FES and Exoskeleton von Kim, Woojin, Joe, Hyunwoo, Kim, HyunSuk, Lee, Seung-Jun, Yoon, Daesub, Jung, Je Hyung, Acuña, Borja Bornail, Lee, Hooman, Raton, Javier Fínez, Isoird, Carlos Fernández, Mariñelarena, Iker, Alonso, Miguel Angel Aldudo, Shin, Myung Jun, Park, Tae Sung

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Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs von Zhang, Chaoyun, Li, Rui, Kim, Woojin, Yoon, Daesub, Patras, Paul

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SYSTEM AND METHOD FOR GENERATING PARKING AVAILABILITY INFORMATION von YOON, Daesub, SHIN, Sung Woong, OH, Cheonin

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