Results 41 to 50 of about 13,126 (118)

Algorithms for Hidden Markov Models Restricted to Occurrences of Regular Expressions

Biology, 2013
Hidden Markov Models (HMMs) are widely used probabilistic models, particularly for annotating sequential data with an underlying hidden structure. Patterns in the annotation are often more relevant to study than the hidden structure itself. A typical HMM
Thomas Mailund, Christian N. S. Pedersen, Paula Tataru, Andreas Sand, Asger Hobolth   +4 more
doaj   +1 more source

Decoding hand movement velocity from electroencephalogram signals during a drawing task

BioMedical Engineering OnLine, 2010
Background Decoding neural activities associated with limb movements is the key of motor prosthesis control. So far, most of these studies have been based on invasive approaches. Nevertheless, a few researchers have decoded kinematic parameters of single
Gu Zhenghui, Li Yuanqing, Lv Jun
doaj   +1 more source

Design and Evaluation of a Serious Game Prototype to Stimulate Pre-Reading Fluency Processes in Paediatric Hospital Classrooms

Multimodal Technologies and Interaction
Didactic digital tools can commence, enhance, and strengthen reading fluency in children undergoing long-term hospitalization due to oncology conditions.
Juan Pedro Tacoronte-Sosa, María Ángeles Peña-Hita   +1 more
doaj   +1 more source

Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model

Frontiers in Computational Neuroscience, 2017
Hippocampal place-cell sequences observed during awake immobility often represent previous experience, suggesting a role in memory processes. However, recent reports of goals being overrepresented in sequential activity suggest a role in short-term ...
Lorenz Gönner, Julien Vitay, Fred H. Hamker, Fred H. Hamker   +3 more
doaj   +1 more source

Four-Stage Domain Adaptation Transfer Learning for EEG-Based Decoding of Unilateral Upper Limb Motor Imagery

Information
The practical application of Brain–Computer Interface (BCI) technology is frequently challenged by significant inter-individual variability in electroencephalogram (EEG) signals.
Jiaofen Nan, Xueqi Jin, Jingjing Lin, Conghui Li, Duan Li, Qian Zheng   +5 more
doaj   +1 more source

Wearable high-density EMG sleeve for complex hand gesture classification and continuous joint angle estimation

Scientific Reports
High-density electromyography (HD-EMG) can provide a natural interface to enhance human–computer interaction (HCI). This study aims to demonstrate the capability of a novel HD-EMG forearm sleeve equipped with up to 150 electrodes to capture high ...
Nicholas Tacca, Collin Dunlap, Sean P. Donegan, James O. Hardin, Eric Meyers, Michael J. Darrow, Samuel Colachis IV, Andrew Gillman, David A. Friedenberg   +8 more
doaj   +1 more source

Design and Simulation of Hiding Message Encrypted using Pseudo Random Number and Sequential Encoding

مجلة النهرين للعلوم الهندسية, 2017
In this paper, a hiding encrypted message using pseudo random number generator and sequential encoding is proposed. This algorithm can provide better security of hiding information in image.
Sabah A. Gitaffa
doaj  

Link Prediction Based on Feature Mapping and Bi-Directional Convolution

Applied Sciences
A considerable amount of research on link prediction has recently been driven by missing relationships between knowledge graph entities and the problem of the incompleteness of knowledge graphs.
Ping Feng, Xin Zhang, Hang Wu, Yunyi Wang, Ziqian Yang, Dantong Ouyang   +5 more
doaj   +1 more source

Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Neural interfaces offer a pathway to intuitive, high-bandwidth interaction, but the sensitive nature of neural data creates significant privacy hurdles for large-scale model training.
Kai Malcolm, Cesar A. Uribe, Momona Yamagami   +2 more
doaj   +1 more source

Decoding Mandarin Action Verbs from EEG Using a Dual-LSTM Network: Towards Practical Assistive Brain-Computer Interfaces. [PDF]

Sensors (Basel)
Liu B, Chen G, Yin L, Liu J.
europepmc   +1 more source