Suchergebnisse - "Human-machine interactions"

"Pilot" to "Embodier": Brain-Controlled Robotic Arm With the E-VEP Paradigm in 3-D Manufacturing Scenarios for IoT

Autoren: Liu, Siyu Liu, Mengzhen Ming, Zhiyuan et al.

Quelle: IEEE Internet of Things Journal. 12(11):17210-17222

Schlagwörter: Brain-controlled robotic arm, brain-machine interface (BMI), embodied visual evoked potential (E-VEP) paradigm, human-machine interactions, Internet of Things (IoT), motion planner

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-367926

A low-cost prosthetic arm with real-time haptic feedback and gesture control for enhanced user autonomy

Autoren: Nikhil Sakthirajan

Quelle: World Journal of Advanced Research and Reviews. 24:1365-1372

Schlagwörter: Prosthetics, Wearable Robotics, Haptic Feedback, Control Systems, Human – Machine Interactions

Bioinspired Liquid‐Free Ion‐Conductive Elastomers with Ultrahigh Mechanical Strength and Excellent Ionic Conductivity for Multifunctional Flexible Sensing Applications

Autoren: Zequan Li Jingjing Tang Xuwei Wang et al.

Quelle: Adv Sci (Weinh)
Advanced Science, Vol 12, Iss 27, Pp n/a-n/a (2025)

Schlagwörter: liquid‐free ion‐conductive elastomers, Science, recovery of LiTFSI, ion‐conductivity, mechanical strength, human‐machine interactions, Research Article

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40289886
https://doaj.org/article/6af1c3350bc2440f9ea23c48b65bd976

The drama of healthcare democratization in the digital era

Autoren: Francesco Caputo Cristina Cervino

Quelle: Digital Tools and Data for Innovative Healthcare ISBN: 9780443274442

Schlagwörter: Healthcare Management, Systems Thinking, Cognitive distance, Human-Machine interactions, Human dimension

Dateibeschreibung: application/pdf

Zugangs-URL: https://shop.elsevier.com/books/digital-tools-and-data-for-innovative-healthcare/de-pablos/978-0-443-27444-2
https://hdl.handle.net/11588/1006544

A Wearable AI‐Driven Mask with Humidity‐Sensing Respiratory Microphone for Non‐Vocal Communication

Autoren: Jianfei Wang Hongyu Zhang Xiaomin Wu et al.

Quelle: Advanced Science, Vol 12, Iss 33, Pp n/a-n/a (2025)

Schlagwörter: contactless sensing, gold nanoparticles, human‐machine interactions, humidity sensor, respiration language, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2198-3844

Zugangs-URL: https://doaj.org/article/75d71c8c7b2249ec931e2cce46dfc682

Applying Machine Learning in Science Education Research

Weitere Verfasser: Wulff, Peter Kubsch, Marcus Krist, Christina

Schlagwörter: Machine learning, Natural language processing, science education research, supervised and unsupervised learning, Probabilistic modeling, artificial intelligence in Science education, Machine learning models, Human-machine interactions, Pattern recognition, computational grounded theory, reinforcement learning, deep neural networks, multimodal learning, transfer learning, qualitative and quantitative research methods, computer-aided tutoring, human-machine interaction, big data, complex systems theory, Teaching of a specific subject, Science: general issues, Study and learning skills: general

Dateibeschreibung: application/pdf

Relation: Springer Texts in Education

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/99864

Recent progress of nanomaterials-based composite hydrogel sensors for human–machine interactions

Autoren: Yuyang Lin Aobin Wu Yitao Zhang et al.

Quelle: Discover Nano, Vol 20, Iss 1, Pp 1-30 (2025)

Schlagwörter: Nanomaterials, Composite hydrogel, Wearable sensors, Human–machine interactions, Materials of engineering and construction. Mechanics of materials, TA401-492

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2731-9229

Zugangs-URL: https://doaj.org/article/9c0234ba12dc42a286f8d8d7d23de206

Human Communication with Cyborgs in Experimental Projects of Contemporary Artists and Designers

Autoren: Anton A. Denikin

Quelle: Гуманитарный вектор, Vol 19, Iss 1, Pp 73-84 (2024)

Schlagwörter: communication, B1-5802, P1-1091, Philosophy (General), human-machine interactions, Philology. Linguistics, transhumanism, cyborg

Zugangs-URL: https://doaj.org/article/4d497b8f54434873bbc43831cd37f5b4

Technological determinism goes aloft: Notes on the human-machine issue in outer space exploration

Autoren: Rodin, Lika

Quelle: Logos et Praxis. 18(4):16-25

Schlagwörter: space exploration, automatization, commodification, human-machine interactions, ethical commodification, Individual and Society VIDSOC, Individ och samhälle VIDSOC

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-22060
https://doi.org/10.15688/lp.jvolsu.2019.4.2

Sandwich Miura‐Ori Enabled Large Area, Super Resolution Tactile Skin for Human–Machine Interactions

Autoren: Qian Xu Zhiwei Yang Zhengjun Wang et al.

Quelle: Adv Sci (Weinh)
Advanced Science, Vol 12, Iss 18, Pp n/a-n/a (2025)

Schlagwörter: Science, tactile sensor, large area sensing, super resolution, human–machine interactions, Research Article

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40104964
https://doaj.org/article/2d6f1249f69b4568b27f477912bfc902

A review on high-performance flexible thermoelectrics: material, device, and applications

Autoren: Basit, A Xin, J Li, X et al.

Weitere Verfasser: Basit, A Xin, J Li, X et al.

Quelle: Microstructures. 5

Schlagwörter: Human-machine interactions, Sensors, Flexible thermoelectrics, Devices, Health-monitoring

High‐Conductivity, Self‐Healing, and Adhesive Ionic Hydrogels for Health Monitoring and Human‐Machine Interactions Under Extreme Cold Conditions

Autoren: Fei Han Shumeng Chen Fei Wang et al.

Quelle: Adv Sci (Weinh)
Advanced Science, Vol 12, Iss 16, Pp n/a-n/a (2025)

Schlagwörter: long‐term stability, multifunctional wearable sensors, Science, Electric Conductivity, Nanofibers, Hydrogels, self‐healing, ionic conductive hydrogels, Cold Temperature, Wearable Electronic Devices, health monitoring, Humans, human‐machine interactions, Research Article, Monitoring, Physiologic

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39874215
https://doaj.org/article/ad316a520ce24e89b3d901f42203e601

Algorithmically Enhanced Wearable Multimodal Emotion Sensor

Autoren: Anand Babu Getnet Kassahun Isabelle Dufour et al.

Quelle: Advanced Intelligent Systems, Vol 7, Iss 5, Pp n/a-n/a (2025)

Schlagwörter: human–machine interactions, machine learning, sensors, wearable, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/b5e738997a3a430480910808a6752e28

A Mathematical Framework for Enriching Human–Machine Interactions

Autoren: Ehresmann, Andrée Béjean, Mathias Vanbremeersch, Jean-Paul et al.

Weitere Verfasser: Ehresmann, Andrée Béjean, Mathias Vanbremeersch, Jean-Paul et al.

Quelle: Machine Learning and Knowledge Extraction, Vol 5, Iss 2, Pp 597-610 (2023)
Machine Learning and Knowledge Extraction; Volume 5; Issue 2; Pages: 597-610

Schlagwörter: TK7885-7895, Computer engineering. Computer hardware, memory evolutive systems, anticipation, [MATH] Mathematics [math], human–machine interactions, artificial intelligence, human-machine interactions

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/d86c0ed17ae54e28af73b9711e3c3879
https://u-picardie.hal.science/hal-04161016v1/document
https://u-picardie.hal.science/hal-04161016v1
https://doi.org/10.3390/make5020034

The scientific approach to facilitate the human-machine interactions. The case of Carrozzeria Fratelli Basile

Autoren: Iaia, L Fait, M Munnia, A et al.

Quelle: Journal of Management History. 30:243-262

Schlagwörter: Taylorism, Digital Taylorism, Emerging technologies, Artificial intelligence, Human-machine interactions, Employee motivation, Engagement and training, 0502 economics and business, 05 social sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2318/1951115
https://doi.org/10.1108/JMH-12-2022-0087

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Autoren: Chenhao Cao Gang Ma Zelin Chen et al.

Quelle: Advanced Intelligent Systems, Vol 7, Iss 3, Pp n/a-n/a (2025)

Schlagwörter: bioelectrical impedance, dynamic movements, electromyography, human–machine interactions, key postures, multimodal fusion algorithm, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/284eaea8193f4280b8e7b2bed64ee908

Changing learning paradigms: an interplay of Digital Taylorism and technostress on perceived employability

Autoren: Duggal, HK Khatri, P Thomas, A et al.

Quelle: Journal of Management History. 30:166-194

Schlagwörter: 4. Education, 0502 economics and business, 05 social sciences, Digital Taylorism, Perceived employability, Technostress, MOOCs, Human-machine interactions, 0503 education

Dateibeschreibung: application/pdf

Using conversational marketing to drive customer engagement: The era of AI and chatbots

Autoren: Pragnashree, M. Reddy, T. Raja

Quelle: Parikalpana KIIT Journal of Management 20(1):80-92. 2024

Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics

Autoren: Heng, Wenzheng Solomon, Samuel Gao, Wei

Quelle: Advanced Materials. 34(16)

Schlagwörter: Engineering, Materials Engineering, Rehabilitation, Assistive Technology, Bioengineering, Physical Rehabilitation, Generic health relevance, Electronics, Humans, Quality of Life, Robotics, flexible electronics, human-machine interactions, machine learning, medical robotics, prosthetics, rehabilitation, Physical Sciences, Chemical Sciences, Nanoscience & Nanotechnology, Chemical sciences, Physical sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/3zm3838d
https://escholarship.org/content/qt3zm3838d/qt3zm3838d.pdf

Bionic Intelligent Interaction Helmet: A Multifunctional-Design Anxiety-Alleviation Device Controlled by STM32

Autoren: Chuanwen Luo Yang You Yan Zhang et al.

Quelle: Sensors, Vol 25, Iss 10, p 3100 (2025)

Schlagwörter: bionic intelligent interaction helmet, STM32, human–machine interactions, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/10/3100; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/c343fb26ef3f4872baa5f9384a1588c0