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ImageSpirit: Verbal Guided Image Parsing [PDF]

open access: yes, 2014
Humans describe images in terms of nouns and adjectives while algorithms operate on images represented as sets of pixels. Bridging this gap between how humans would like to access images versus their typical representation is the goal of image parsing ...
Cheng, Ming-Ming   +8 more
core   +8 more sources

Brain–Computer Interface and Hand-Guiding Control in a Human–Robot Collaborative Assembly Task

open access: yesMachines, 2022
Collaborative robots (Cobots) are compact machines programmable for a wide variety of tasks and able to ease operators’ working conditions. They can be therefore adopted in small and medium enterprises, characterized by small production batches and a ...
Yevheniy Dmytriyev   +3 more
doaj   +1 more source

Audio-visual Perception based Multimodal Human-computer Interaction

open access: yes, 2018
Human–computer interaction (HCI) has great potential for applications in many fields. The diversity of interaction habits and low recognition rate are main factors to limit its development.
Shu Yang, Ye-peng Guan
semanticscholar   +1 more source

AGILEST approach: Using machine learning agents to facilitate kinesthetic learning in STEM education through real-time touchless hand interaction

open access: yesTelematics and Informatics Reports, 2023
There is an increasing interest in creating interactive learning applications using innovative interaction technologies, especially in STEM (Science, technology, engineering, and mathematics) subjects. Recent developments in machine learning have allowed
Muhammad Zahid Iqbal   +1 more
doaj   +1 more source

Abstract, emotional and concrete concepts and the activation of mouth-hand effectors [PDF]

open access: yes, 2018
According to embodied and grounded theories, concepts are grounded in sensorimotor systems. The majority of evidence supporting these views concerns concepts referring to objects or actions, while evidence on abstract concepts is more scarce.
Benassi, Mariagrazia   +4 more
core   +3 more sources

Multi-Modal Emotion Detection and Tracking System Using AI Techniques

open access: yesComputers
Emotion detection significantly impacts healthcare by enabling personalized patient care and improving treatment outcomes. Single-modality emotion recognition often lacks reliability due to the complexity and subjectivity of human emotions.
Werner Mostert   +2 more
doaj   +1 more source

A Wrist-Worn Thermohaptic Device for Graceful Interruption [PDF]

open access: yesInteraction Design and Architecture(s), 2015
Thermal haptics is a potential system output modality for wearable devices that promises to function at the periphery of human attention. When adequately combined with existing attention-governing mechanisms of the human mind, it could be used for ...
Shahram Jalaliniya, Thomas Pederson
doaj  

A Comprehensive Study on Deep Learning-Based 3D Hand Pose Estimation Methods

open access: yesApplied Sciences, 2020
The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its significance in several applications that require human-computer interaction (HCI).
Theocharis Chatzis   +4 more
doaj   +1 more source

A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences

open access: yesDiagnostics, 2023
In recent years, human–computer interaction (HCI) systems have become increasingly popular. Some of these systems demand particular approaches for discriminating actual emotions through the use of better multimodal methods. In this work, a deep canonical
Farah Muhammad   +2 more
doaj   +1 more source

They Are All After You: Investigating the Viability of a Threat Model That Involves Multiple Shoulder Surfers [PDF]

open access: yes, 2017
Many of the authentication schemes for mobile devices that were proposed lately complicate shoulder surfing by splitting the attacker's attention into two or more entities.
Alt, Florian   +5 more
core   +1 more source

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