Results 171 to 180 of about 1,074,185 (332)

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

EMG-guided human-machine interaction training develops new intermuscular coordination patterns in stroke: a pilot study. [PDF]

J Neuroeng Rehabil
Seo G, Portilla-Jiménez M, Houston M, Park JH, Lee H, Li S, Zhang Y, Park HS, Roh J.   +8 more
europepmc   +1 more source

Electrospun Nanofiber-Based Bioinspired Artificial Skins for Healthcare Monitoring and Human-Machine Interaction. [PDF]

Biomimetics (Basel), 2023
Chen X, Li H, Xu Z, Lu L, Pan Z, Mao Y.
europepmc   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Bio-Signal Analysis for Human Machine Interaction

, 2019
Yinfeng Fang, Jianhua Zhang, Naoyuki Kubota, Houxiang Zhang   +3 more
openalex   +2 more sources

Consideration of communication in human-machine interaction for cooperative trajectory planning. [PDF]

Front Robot AI
Schneider J, Varga B, Hohmann S.
europepmc   +1 more source

Human-Machine Interaction via Dual Modes of Voice and Gesture Enabled by Triboelectric Nanogenerator and Machine Learning. [PDF]

ACS Appl Mater Interfaces, 2023
Luo H, Du J, Yang P, Shi Y, Liu Z, Yang D, Zheng L, Chen X, Wang ZL.   +8 more
europepmc   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Exploratory development of human-machine interaction strategies for post-stroke upper-limb rehabilitation. [PDF]

J Neuroeng Rehabil
Xia K, Chang XD, Liu CS, Yan YH, Sun H, Wang YM, Wang XW.   +6 more
europepmc   +1 more source

Human-Machine Interaction Methods for Minimally Invasive Surgical Robotic Arms. [PDF]

Comput Intell Neurosci, 2022
Jiang F, Jia R, Jiang X, Cao F, Lei T, Luo L.   +5 more
europepmc   +1 more source