Results 131 to 140 of about 315,110 (278)

Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke, Moses Kumi, Xiaoming Tao, Junhong Pu   +3 more
wiley   +1 more source

Feedback From Automatic Speech Recognition to Elicit Clear Speech in Healthy Speakers. [PDF]

Am J Speech Lang Pathol, 2023
Gutz SE, Maffei MF, Green JR.
europepmc   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Dictating translations with automatic speech recognition: Effects on translators' performance. [PDF]

Front Psychol, 2023
Wang L, Sun S.
europepmc   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

A Comparative Investigation of Automatic Speech Recognition Platforms for Aphasia Assessment Batteries. [PDF]

Sensors (Basel), 2023
Mahmoud SS, Pallaud RF, Kumar A, Faisal S, Wang Y, Fang Q.   +5 more
europepmc   +1 more source

3D‐Printed Dynamic Heart Model With Left‐Side Anatomy and Integrated Sensor for Edge‐to‐Edge Repair and Regurgitation Reduction

Advanced Materials Technologies, EarlyView.
This work presents a fully synthetic, 3D‐printed dynamic heart model with left‐side anatomy featuring sutured mitral valve chordae tendineae analogs, embedded actuators for physiologic wall contraction, and customized flexible pressure sensors for the left ventricle.
Alejandro Guillen Obando, Hongyi Shen, Myles McGovern, Yusen Zhang, Vivien Lin, Darryl Fu, Ryan Baumwart, Kaiyan Qiu   +7 more
wiley   +1 more source

Speech Emotion Recognition Based on Power Normalized Cepstral Coefficients in Noisy Conditions

Iranian Journal of Electrical and Electronic Engineering, 2016
Automatic recognition of speech emotional states in noisy conditions has become an important research topic in the emotional speech recognition area, in recent years.
M. Bashirpour, M. Geravanchizadeh
doaj  

Using Automatic Speech Recognition to Measure the Intelligibility of Speech Synthesized from Brain Signals. [PDF]

Int IEEE EMBS Conf Neural Eng, 2023
Varshney S, Farias D, Brandman DM, Stavisky SD, Miller LM.   +4 more
europepmc   +1 more source