AIMC Topic: Cues

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Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space.

Sensors (Basel, Switzerland) May 17, 2025
BACKGROUND AND OBJECTIVES: Depth perception of the human visual system in three-dimensional (3D) space plays an important role in human-computer interaction and artificial intelligence (AI) areas. It mainly employs binocular disparity and motion para...
Vision Disparity Motion Perception Depth Perception Humans Vision, Binocular Artificial Intelligence Motion Cues
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Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors.

Ecotoxicology and environmental safety Apr 28, 2025
Honey bees play a crucial role in agricultural productivity and ecological stability, yet their interactions with environmental stressors, particularly volatile organic compounds (VOCs) and pollutants, pose significant challenges to their cognitive f...
Animals Acetone Volatile Organic Compounds Bees Behavior, Animal Animal Communication Acetates Sound Cues
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Does Musical Experience Facilitate Phonetic Accommodation During Human-Robot Interaction?

Journal of speech, language, and hearing research : JSLHR Apr 21, 2025
PURPOSE: This study investigated the effect of musical training on phonetic accommodation in a second language (L2) after interacting with a social robot, exploring the motivations and reasons behind their accommodation strategies.
Humans Female Young Adult Multilingualism Music Robotics Cues Phonetics Adult Male Speech
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AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on a Cue-Masked Paradigm.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 14, 2025
Auditory attention decoding from electroencephalogram (EEG) could infer to which source the user is attending in noisy environments. Decoding algorithms and experimental paradigm designs are crucial for the development of technology in practical appl...
Acoustic Stimulation Auditory Perception Orientation Signal Processing, Computer-Assisted Attention Cues Male Deep Learning Electroencephalography Female Humans Young Adult Algorithms Adult
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Configural processing as an optimized strategy for robust object recognition in neural networks.

Communications biology Mar 7, 2025
Configural processing, the perception of spatial relationships among an object's components, is crucial for object recognition, yet its teleology and underlying mechanisms remain unclear. We hypothesize that configural processing drives robust recogn...
Humans Pattern Recognition, Visual Neural Networks, Computer Cues Photic Stimulation
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Linguistic cues for automatic assessment of Alzheimer's disease across languages.

Journal of Alzheimer's disease : JAD Feb 25, 2025
BackgroundMost common forms of dementia, including Alzheimer's disease, are associated with alterations in spoken language.ObjectiveThis study explores the potential of a speech-based machine learning (ML) approach in estimating cognitive impairment,...
Cues Linguistics Speech Cognitive Dysfunction Alzheimer Disease Machine Learning Language Female Aged Aged, 80 and over Male Humans
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Human-Centric Transformer for Domain Adaptive Action Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 9, 2025
We study the domain adaptation task for action recognition, namely domain adaptive action recognition, which aims to effectively transfer action recognition power from a label-sufficient source domain to a label-free target domain. Since actions are ...
Pattern Recognition, Automated Human Activities Image Processing, Computer-Assisted Cues Video Recording Machine Learning Algorithms Humans
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Machine learning based classification of excessive smartphone users via neuronal cue reactivity.

Psychiatry research. Neuroimaging Oct 2, 2024
Excessive Smartphone Use (ESU) poses a significant challenge in contemporary society, yet its recognition as a distinct disorder remains ambiguous. This study aims to address this gap by leveraging functional magnetic resonance imaging (fMRI) data an...
Humans Machine Learning Brain Magnetic Resonance Imaging Cues Behavior, Addictive Internet Addiction Disorder Male Smartphone Support Vector Machine Female Young Adult Adult
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EEG based depression detection by machine learning: Does inner or overt speech condition provide better biomarkers when using emotion words as experimental cues?

Journal of psychiatric research Aug 5, 2024
BACKGROUND: Objective diagnostic approaches need to be tested to enhance the efficacy of depression detection. Non-invasive EEG-based identification represents a promising area.
Machine Learning Humans Young Adult Depression Brain Adult Middle Aged Cues Emotions Female Case-Control Studies Male Electroencephalography Speech
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Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent First-Person and Third-Person Activity Recognition.

IEEE transactions on neural networks and learning systems Apr 4, 2024
The popularity of wearable devices has increased the demands for the research on first-person activity recognition. However, most of the current first-person activity datasets are built based on the assumption that only the human-object interaction (...
Humans Semantics Neural Networks, Computer Human Activities Cues
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