Suchergebnisse - "human-machine interaction"
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1
Autoren: et al.
Quelle: IEEE Sensors Journal.
Schlagwörter: Conformal and wearable electronics, human-machine interaction (HMI), kirigami structures, parasitic signal suppression, stretchable sensors, touch mapping
Dateibeschreibung: print
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2
Autoren:
Quelle: Semi-Autonom körning och dess påverkan på Mod-medvetenhet och användarUpplevelse (SAMU) Applied Ergonomics. 129
Schlagwörter: human-machine interaction, mode awareness, driving automation
Dateibeschreibung: electronic
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3
Autoren: et al.
Quelle: 2025 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5
Schlagwörter: Signal Processing (eess.SP), Human-Machine Interaction, Analog In-Memory Computing, FOS: Electrical engineering, electronic engineering, information engineering, SDG 7 - Affordable and Clean Energy, Electrical Engineering and Systems Science - Signal Processing, nalog ReRAM, Edge AI, Hand gesture recognition, SDG 7 – Betaalbare en schone energie
Zugangs-URL: http://arxiv.org/abs/2502.18152
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4
Autoren:
Weitere Verfasser:
Quelle: 2025 13th International Symposium on Digital Forensics and Security (ISDFS). :1-6
Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Attempto Controlled English, Computable Law, Human-Machine Interaction, Controlled Language
Dateibeschreibung: application/pdf
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5
Autoren:
Quelle: IAES International Journal of Robotics and Automation. 12(4):315-324
Schlagwörter: Deep learning, Emotion recognition systems, Facial expressions, Human-machine interaction, Machine learning, Manual image descriptors
Dateibeschreibung: print
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6
Autoren: et al.
Quelle: Alfred Nobel University Journal of Pedagogy and Psychology, Vol 1, Iss 29, Pp 167-178 (2025)
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7
Autoren: et al.
Quelle: IEEE TRANSACTIONS ON CYBERNETICS
Schlagwörter: Brain modeling, FOS: Computer and information sciences, Periodicity, Technology and Engineering, Computer Science - Artificial Intelligence, Models, Neurological, Computer Science - Human-Computer Interaction, Social Sciences, Rhythm, BEAT, Human-Computer Interaction (cs.HC), Predictive models, time series prediction, Humans, Oscillators, Computer Simulation, Neural and Evolutionary Computing (cs.NE), Biology, Man-Machine Systems, human-machine interaction, Neurons, PERCEPTION, Biological system modeling, Adaptation models, Computer Science - Neural and Evolutionary Computing, reservoir computing, Dynamic system, TIME, SYNCHRONY, Behavioral sciences, Meters, Artificial Intelligence (cs.AI), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Neurons and Cognition (q-bio.NC)
Dateibeschreibung: application/pdf
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40131747
http://arxiv.org/abs/2407.09538
http://hdl.handle.net/1854/LU-01JWBKQ3RE730GT8DXEWXRYJAF
https://biblio.ugent.be/publication/01JWBKQ3RE730GT8DXEWXRYJAF/file/01JWTAEGYP2VKQD0XP5NVZ2ME0
https://biblio.ugent.be/publication/01JWBKQ3RE730GT8DXEWXRYJAF
http://doi.org/10.1109/TCYB.2025.3547216 -
8
Autoren: et al.
Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)
Schlagwörter: Electromyography signal, Optimization techniques, Machine learning models, Human machine interaction, Hand gesture recognition, Hyperparameter, Medicine, Science
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2045-2322
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9
Autoren: Reis, Afonso Filipe
Schlagwörter: Conversational Agent, Knowledge Representation, Digital Health, Large Language Model, Human-Machine Interaction, Agente Conversacional, Representação de Conhecimento, Saúde Digital, Modelo de Linguagem em Grande Escala, Interação Homem-Máquina
Verfügbarkeit: https://hdl.handle.net/10316/120428
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10
Autoren: Martikainen, Hanna
Weitere Verfasser: Martikainen, Hanna
Quelle: Journal of Data Mining & Digital Humanities.
Schlagwörter: Human-machine interaction, Ergonomics of post-editing, Translator training, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, Adaptive MT
Dateibeschreibung: application/pdf
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11
Autoren:
Weitere Verfasser:
Quelle: Lecture Notes in Computer Science ISBN: 9783031977718
Schlagwörter: Virtual reality (VR), Physical vapor deposition (PVD), [SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Numerical simulation, Human-machine interaction (HMI), [PHYS.COND.CM-MS] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]
Dateibeschreibung: application/pdf
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12
Autoren:
Quelle: Information Processing in Agriculture, Vol 12, Iss 1, Pp 112-124 (2025)
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13
Autoren: et al.
Quelle: Journal of Rock Mechanics and Geotechnical Engineering, Vol 17, Iss 3, Pp 1646-1663 (2025)
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14
Autoren:
Quelle: Journal of Experimental Psychology: Human Perception and Performance. 51:341-356
Schlagwörter: Male, Adult, Young Adult, error observation, human–machine interaction, joint action, social monitoring, Adaptation, Psychological, Social Interaction, Humans, Female, Interpersonal Relations, Cooperative Behavior, Goals, Psychomotor Performance
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15
Autoren: Olesea Borozan
Quelle: Journal of Engineering Science (Chişinău), Vol XXXI, Iss 4, Pp 84-94 (2024)
Schlagwörter: industrial processes, robotic systems, voice recognition, neural network, exceptional situations, Electronic computers. Computer science, emotional voice control, QA75.5-76.95, natural language processing, TA1-2040, Engineering (General). Civil engineering (General), emergency intervention, human-machine interaction
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16
Autoren: P. V. Peresunko
Quelle: Вестник Дагестанского государственного технического университета: Технические науки, Vol 51, Iss 4, Pp 123-129 (2025)
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17
Autoren: et al.
Quelle: IEEE Access, Vol 13, Pp 115151-115159 (2025)
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18
Autoren: et al.
Weitere Verfasser: et al.
Quelle: IEEE Transactions on Instrumentation and Measurement. 74:1-10
Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, human-machine interaction (HMI), Computer Science - Human-Computer Interaction, FOS: Electrical engineering, electronic engineering, information engineering, Deep learning, silent speech interface (SSI), wearable sensor, Electrical Engineering and Systems Science - Signal Processing, Human-Computer Interaction (cs.HC)
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/abs/2504.13921
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19
Autoren: et al.
Quelle: IEEE Access, Vol 13, Pp 104799-104814 (2025)
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20
Autoren: et al.
Quelle: IEEE Access, Vol 13, Pp 88871-88887 (2025)
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