A Deep Learning‐Based Framework for Human Activity Recognition in Smart Homes
A Mihoub - Mobile Information Systems, 2021 - Wiley Online Library
Human behavior modeling in smart environments is a growing research area treating
several challenges related to ubiquitous computing, pattern recognition, and ambient …
several challenges related to ubiquitous computing, pattern recognition, and ambient …
On finite-state stochastic modeling and secure estimation of cyber-physical systems
The problem of secure state estimation and attack detection in cyber-physical systems is
considered in this paper. A stochastic modeling framework is first introduced, based on …
considered in this paper. A stochastic modeling framework is first introduced, based on …
Sensors, Techniques, and Future Trends of Human-Engagement-Enabled Applications: A Review
Human engagement is a vital test research area actively explored in cognitive science and
user experience studies. The rise of big data and digital technologies brings new …
user experience studies. The rise of big data and digital technologies brings new …
Automatically classifying user engagement for dynamic multi-party human–robot interaction
A robot agent designed to engage in real-world human–robot joint action must be able to
understand the social states of the human users it interacts with in order to behave …
understand the social states of the human users it interacts with in order to behave …
On the benefit of independent control of head and eye movements of a social robot for multiparty human-robot interaction
L Haefflinger, F Elisei, S Gerber, B Bouchot… - … conference on human …, 2023 - Springer
The human gaze direction is the sum of the head and eye movements. The coordination of
these two segments has been studied and models of the contribution of head movement to …
these two segments has been studied and models of the contribution of head movement to …
Graphical models for social behavior modeling in face-to face interaction
The goal of this paper is to model the coverbal behavior of a subject involved in face-to-face
social interactions. For this end, we present a multimodal behavioral model based on a …
social interactions. For this end, we present a multimodal behavioral model based on a …
Learning multimodal behavioral models for face-to-face social interaction
The aim of this paper is to model multimodal perception-action loops of human behavior in
face-to-face interactions. To this end, we propose trainable behavioral models that predict …
face-to-face interactions. To this end, we propose trainable behavioral models that predict …
A new user behavior evaluation method in online social network
M Yang, S Zhang, H Zhang, J **a - Journal of Information Security and …, 2019 - Elsevier
Due to the limitations of existing user evaluation in online social network (OSN), a new user
behavior evaluation model is proposed. Considering the high degree of uncertainty …
behavior evaluation model is proposed. Considering the high degree of uncertainty …
Using novel methods to examine the role of mimicry in trust and rapport
J Hale - 2017 - discovery.ucl.ac.uk
Without realising it, people unconsciously mimic each other's postures, gestures and
mannerisms. This 'chameleon effect'is thought to play an important role in creating affiliation …
mannerisms. This 'chameleon effect'is thought to play an important role in creating affiliation …
Prediction Models of Collaborative Behaviors in Dyadic Interactions: An Application for Inclusive Teamwork Training in Virtual Environments
Collaborative virtual environment (CVE)-based teamwork training offers a promising avenue
for inclusive teamwork training. The incorporation of a feedback mechanism within virtual …
for inclusive teamwork training. The incorporation of a feedback mechanism within virtual …