ScholarWorks@Kumoh: KIM, SANG HO

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KIM, SANG HO (김상호)

College of Engineering (School of Big Data &Industrial Engineering)

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Musculoskeletal Disorders:4||deep learning:3||Cluster Analysis:2||Population stereotype:2||Safety:2||Kano model:2||Kansei engineering:2||Humanrobot interaction:2||Scheduling optimization:2||Hazard Factors:2||human factors:2||Semantic differential:2||Work System Analysis:2||Korean:2||Korean Adults:2||Factor Analysis:2||Countermeasures:2||Survey Study:2||Gyeongbuk Province:2||autonomous driving:2||Representative Hand Shapes:2||Dismantling procedure:2||CRT:2||Research reactor:2||Human factors:2||Color coding:2||Ergonomics Kit:2||exoskeleton:2||Elderly drivers:1||Emotion recognition:1||Emotional Satisfaction:1||Ergonomic interventions:1||Ergonomic requirements:1||Ergonomics in South Korea:1||Facial Expression:1||Future Prospects:1||Handycon:1||Haptic Icons:1||Haptic emotion map:1||Haptic signal design:1||Haptics:1||History of Ergonomics:1||Human  Artificial Intelligence Interaction:1||Human Computer Interaction:1||Human Factors:1||Human Sensibility Ergonomics:1||Human sensibility ergonomics:1||HumanAI interaction:1||HumanRobot interaction:1||Humanvehicle interface:1||IP:1||IVIS:1||InVehicle information system:1||Industrial Accidents:1||Industrial Safety:1||Industrial robot:1||Industrial robots:1||Interaction design parameters:1||Job stress:1||Kansei engineering approach:1||Karasek model:1||Korean Population Stereotypes:1||Lower extremity joint motion:1||MMH(manual materials handling):1||Machine learning:1||Manufacturing Enterprises:1||Materials & Parts:1||Moderating Effects:1||Motion segmentation:1||Multicolor glass panels:1||Multimodal IVIS:1||Multimodality:1||Multithreading:1||Multivariate Analysis:1||Musculoskeletal Disorders(MSDs):1||Musculoskeletal hazards:1||Musculoskeletal workload:1||Navigation:1||Nonlinear Support Vector Machine:1||North GyeongBuk Area:1||Papermaking process:1||Participatory approach:1||Participatory design:1||Pattern Classification.:1||Persona:1||Power spectral density (PSD):1||Precision Demand:1||Proactive control:1||Process Control:1||Psychosocial Risk Factors:1||Psychosocial work factors:1||QoE:1||Qualitative assessment:1||Realtime implementation:1||Repetitive Lifting Tasks:1||Requirement:1||Research category:1||Response Rate:1||Response Time:1||Response analysis:1||Restingstate electroencephalography:1||Risk Assessment:1||Safety Engineering:1||Safety and Health Management:1||Satisfactory emotions:1||Semantic Association:1||Semantic association:1||Small and Mediumsized Enterprise:1||Small and Mediumsized Industries:1||Smartphone:1||Stereotypes:1||Survey study:1||TCP:1||TFTLCD:1||Transcranial directcurrent stimulation (tDCS):1||Trend analysis:1||Unreported Accidents:1||Upper extremities:1||Usability:1||User acceptance:1||User satisfaction:1||Vibrotactile signals:1||Voice User Interface:1||Voice user interface:1||Warning design:1||Wearable robot:1||Wearable robots:1||Weighted average fusion:1||Work Ability Index:1||Workplace Injury:1||Wow materials:1||Xception:1||accommodative power:1||ambient light:1||artificial intelligence:1||autonomous driving technology:1||crosssectional study:1||driver's response:1||dynamic sign language:1||edge device:1||edgecloud:1||emotion recognition:1||face recognition:1||facial emotion recognition:1||feedforward control:1||frame extraction:1||haptic:1||healthcare:1||hierarchy of human needs:1||human factor:1||human&#8211:1||humanAI interactions:1||humanrobot interaction:1||invehicle information system:1||industrial collaborative robot:1||intention prediction:1||interaction design:1||model compression:1||motion detection:1||motion segmentation:1||multimodal:1||panel convexity:1||proactive control:1||quality standards:1||realtime:1||robotics:1||sign language recognition:1||signal intelligibility:1||subjective ratings:1||technology acceptance:1||technology adoption:1||user acceptance:1||user requirements:1||user satisfaction:1||usercentered design:1||visual fatigue:1||visual performance:1||visual search performance:1||voicebased intelligent system:1||words and icons:1||감성공학:1||뇌컴퓨터 인터페이스:1||비선형 서포트 벡터 머신:1||설계품질:1||소재 및 부품:1||스마트 헬스케어:1||심장활동 신호:1||심장활동 신호의 품질:1||융합 기술:1||인간지능형 제품 인터페이스:1||인간컴퓨터 인터페이스:1||접촉식 심장활동 신호 센서:1||직물전극의 구조:1||패턴 분류기:1||AI interaction:1||평가 프레임워크:1||Accident Statistics:1||Affective Design Quality:1||Alpha frequency band:1||Assessment Framework:1||Association:1||Autonomous driving:1||BERTopic Topic Modeling:1||Box Color:1||Brain Computer Interface:1||Brain network:1||CNNLSTM:1||Classificationoriented gesture:1||Collaborative robot:1||Compatibility:1||Compatibilityoriented gesture:1||Contactless interface:1||Correlation:1||Datafusion:1||Design Guidelines:1||Design parameters:1||Detectability:1||Driver awareness:1||Driver drowsiness warning system:1||Driving:1||EEG:1||EMG:1||Earcons:1||

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350-27, Gumi-daero, Gumi-si, Gyeongsangbuk-do, Republic of Korea (39253) 054-478-7170

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