L2cs-net: Fine-grained gaze estimation in unconstrained environments
Human gaze is a crucial cue used in various applications such as human-robot interaction
and virtual reality. Recently, convolution neural network (CNN) approaches have made …
and virtual reality. Recently, convolution neural network (CNN) approaches have made …
NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction
Eye contact is a crucial non-verbal interaction modality and plays an important role in our
everyday social life. While humans are very sensitive to eye contact, the capabilities of …
everyday social life. While humans are very sensitive to eye contact, the capabilities of …
TCA-NET: Triplet Concatenated-Attentional Network For Multimodal Engagement Estimation
Human social interactions involve intricate social signals that artificial intelligence and
machine learning models aim to decipher, particularly in the context of artificial mediators …
machine learning models aim to decipher, particularly in the context of artificial mediators …
Fine-grained gaze estimation based on the combination of regression and classification losses
Human gaze is a crucial cue used in various applications such as human-robot interaction,
autonomous driving, and virtual reality. Recently, convolution neural network (CNN) …
autonomous driving, and virtual reality. Recently, convolution neural network (CNN) …
Predicting Human Intent to Interact with a Public Robot: The People Approaching Robots Database (PAR-D)
S Thompson, A Lew, Y Li, E Stanish, A Huang… - Proceedings of the 26th …, 2024 - dl.acm.org
This work studies the problem of predicting human intent to interact with a robot in a public
environment. To facilitate research in this problem domain, we first contribute the People …
environment. To facilitate research in this problem domain, we first contribute the People …
Novel Subject-Dependent Human-Posture Recognition Approach Using Tensor Regression
A novel dynamic human-posture recognition approach using tensor regression is proposed
in this work. In our proposed approach, a new dynamic segmentation scheme based on …
in this work. In our proposed approach, a new dynamic segmentation scheme based on …
[HTML][HTML] Multiuser design of an architecture for social robots in education: teachers, students, and researchers perspectives
Research on social assistive robots in education faces many challenges that extend beyond
technical issues. On one hand, hardware and software limitations, such as algorithm …
technical issues. On one hand, hardware and software limitations, such as algorithm …
Multi-Pose Human Action Recognition Using Deep Learning ConvLSTM
Multi-pose Human action recognition (HAR) is a pivotal task in computer vision with
applications spanning surveillance, human-robot interaction (HRI), behaviour analysis, etc …
applications spanning surveillance, human-robot interaction (HRI), behaviour analysis, etc …
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction
Detecting and interpreting operator actions, engagement, and object interactions in dynamic
industrial workflows remains a significant challenge in human-robot collaboration research …
industrial workflows remains a significant challenge in human-robot collaboration research …
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 …