Results 21 to 30 of about 269,662 (318)
Audio-visual Perception based Multimodal Human-computer Interaction
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
A Survey of Human-Computer Interaction (HCI) & Natural Habits-based Behavioral Biometric Modalities for User Recognition Schemes [PDF]
Sandeep K. S. Gupta +5 more
openalex +2 more sources
Distributed Neural Activity Patterns during Human-to-Human Competition
Interpersonal interaction is the essence of human social behavior. However, conventional neuroimaging techniques have tended to focus on social cognition in single individuals rather than on dyads or groups.
Matthew Piva +10 more
doaj +1 more source
Operators of complex systems across multiple domains (e.g., aviation, automotive, and nuclear power industry) are required to perform their tasks over prolonged and continuous periods of time.
Marcel F. Hinss +3 more
doaj +1 more source
Multimodal person recognition for human-vehicle interaction [PDF]
Next-generation vehicles will undoubtedly feature biometric person recognition as part of an effort to improve the driving experience. Today's technology prevents such systems from operating satisfactorily under adverse conditions.
Abut, Huseyin +9 more
core +1 more source
Multi-Modal Emotion Detection and Tracking System Using AI Techniques
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]
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
Gated Fusion Network With Progressive Modality Enhancement for Sentiment Analysis
Multi-modal sentiment analysis aims to recognize the sentiment expressed by the studied subjects utilizing textual, visual, and acoustic cues. Given the vast application prospects of multi-modal sentiment analysis in domains such as human-computer ...
Feng Xin +5 more
doaj +1 more source
A Scholarly Knowledge Graph-Powered Dashboard: Implementation and User Evaluation
Scholarly knowledge graphs provide researchers with a novel modality of information retrieval, and their wider use in academia is beneficial for the digitalization of published works and the development of scholarly communication.
Olga Lezhnina +6 more
doaj +1 more source
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor
Using supporting backchannel (BC) cues can make human-computer interaction more social. BCs provide a feedback from the listener to the speaker indicating to the speaker that he is still listened to.
A Stolcke +7 more
core +1 more source

