Results 41 to 50 of about 5,898,168 (296)
Who is Alyx? A new behavioral biometric dataset for user identification in XR
Introduction: This paper addresses the need for reliable user identification in Extended Reality (XR), focusing on the scarcity of public datasets in this area.Methods: We present a new dataset collected from 71 users who played the game “Half-Life: Alyx”
Christian Rack +4 more
doaj +1 more source
Problem spotting in human-machine interaction [PDF]
In human-human communication, dialogue participants are con-tinuously sending and receiving signals on the status of the inform-ation being exchanged.
Krahmer, Emiel +3 more
core +4 more sources
For a safe, natural and effective human-robot social interaction, it is essential to develop a system that allows a robot to demonstrate the perceivable responsive behaviors to complex human behaviors. We introduce the Multimodal Deep Attention Recurrent
Ishiguro, Hiroshi +3 more
core +1 more source
Human Like Adaptation of Force and Impedance in Stable and Unstable Tasks [PDF]
—This paper presents a novel human-like learning con-troller to interact with unknown environments. Strictly derived from the minimization of instability, motion error, and effort, the controller compensates for the disturbance in the environment in ...
Albu-Schaeffer, A +5 more
core +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Advanced Image Quality Assessment for Hand- and Finger-Vein Biometrics
Natural scene statistics commonly used in nonreference image quality measures and a proposed deep-learning (DL)–based quality assessment approach are suggested as biometric quality indicators for vasculature images.
Simon Kirchgasser +3 more
doaj +1 more source
Do Embodied Conversational Agents Know When to Smile? [PDF]
We survey the role of humor in particular domains of human-to-human interaction with the aim of seeing whether it is useful for embodied conversational agents to integrate humor capabilities in their models of intelligence, emotions and interaction ...
Nijholt, Anton
core +1 more source
Predicting Human Interaction via Relative Attention Model
Predicting human interaction is challenging as the on-going activity has to be inferred based on a partially observed video. Essentially, a good algorithm should effectively model the mutual influence between the two interacting subjects.
Ni, Bingbing +2 more
core +1 more source
Human–exoskeleton interaction portrait
AbstractHuman–robot physical interaction contains crucial information for optimizing user experience, enhancing robot performance, and objectively assessing user adaptation. This study introduces a new method to evaluate human–robot interaction and co-adaptation in lower limb exoskeletons by analyzing muscle activity and interaction torque as a two ...
Shushtari, Mohammad +2 more
openaire +5 more sources
Human eosinophil-lymphocyte interactions [PDF]
While the eosinophil's effector functions clearly can contribute to the pathogenesis of allergic diseases, the evolutionary benefit to having eosinophils as a distinct class of leukocyte is not clear, especially if one must reconsider the nominally beneficial role of eosinophils in parasite host defense, Eosinophils are equipped to respond to ...
Weller, Peter F, Lim, Kaiser
openaire +4 more sources

