Results 241 to 250 of about 12,076,669 (306)
Frequency-encoded eye tracking smart contact lens for human-machine interaction. [PDF]
Zhu H +16 more
europepmc +1 more source
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang +9 more
wiley +1 more source
An automated human-machine interaction system enhances standardization, accuracy and efficiency in cardiovascular autonomic evaluation: A multicenter, open-label, paired design study. [PDF]
Fu X +13 more
europepmc +1 more source
Resonant standing waves generate large‐area lattices of liquid‐crystal topological defects that are permanently encoded into polymer coatings by photopolymerization. The preserved director architecture produces thermally reconfigurable surface topographies while maintaining programmable optical functionality, demonstrating a scalable strategy for ...
Jacques A. Peixoto +6 more
wiley +1 more source
Smart touchless human-machine interaction based on crystalline porous cages. [PDF]
Wang J +5 more
europepmc +1 more source
A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow +6 more
wiley +1 more source
Editorial: Neurocognitive features of human-robot and human-machine interaction. [PDF]
Bossi F, Ciardo F, Mostafaoui G.
europepmc +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Editorial: Affective computing and mental workload assessment to enhance human-machine interaction. [PDF]
Iarlori S +4 more
europepmc +1 more source
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source

