Results 71 to 80 of about 29,428 (264)
Decoding Behavior Tasks From Brain Activity Using Deep Transfer Learning
IEEE Access, 2019 Recently, advances in noninvasive detection techniques have shown that it is possible to decode visual information from measurable brain activities. However, these studies typically focused on the mapping between neural activities and visual information,
Yufei Gao +4 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
The effect of written word work using word boxes on the decoding fluency of young at-risk readers
, 2007 The effect of written word work using word boxes on the decoding fluency of nine first grade students at-risk for reading failure was investigated. A multiple baseline across-participants single subject research design was implemented to measure the ...
Angus, Claudia
core +1 more source
Applied Sciences, 2020 The increasing portability of physical manuscripts to the digital environment makes it common for systems to offer automatic mechanisms for offline Handwritten Text Recognition (HTR).
Arthur Flor de Sousa Neto +2 more
doaj +1 more source
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Advanced Materials Technologies, EarlyView.Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
MSEI-ENet: A Multi-Scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding
Brain SciencesBackground: Due to complex signal characteristics and distinct individual differences, the decoding of a motor imagery electroencephalogram (MI-EEG) is limited by the unsatisfactory performance of suboptimal traditional models.
Pengcheng Wu +3 more
doaj +1 more source
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
, 2008 . To date, the neural decoding of time-evolving physical state – for example, the path of a foraging rat or arm movements – has been largely carried out using linear trajectory models, primarily due to their computational efficiency.
John P. Cunningham +3 more
core
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Fast Two-Level HMM Decoding Algorithm for Large Vocabulary Handwriting Recognition
, 2004 To support large vocabulary handwriting recognition in standard computer platforms, a fast algorithm for hidden Markov model alignment is necessary. To address this problem, we propose a non--heuristic fast decoding algorithm which is based on hidden ...
Robert Sabourin +2 more
core
Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring
Advanced Materials Technologies, EarlyView.Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah +7 more
wiley +1 more source