Positive technology for elderly well-being: A review

G Grossi, R Lanzarotti, P Napoletano, N Noceti… - Pattern Recognition …, 2020 - Elsevier
In the last decades, given the necessity of assisting fragile citizens, of which elderly
represent a significant portion, a considerable research effort has been devoted to the use of …

Co-Located Human–Human Interaction Analysis Using Nonverbal Cues: A Survey

C Beyan, A Vinciarelli, AD Bue - ACM Computing Surveys, 2023 - dl.acm.org
Automated co-located human–human interaction analysis has been addressed by the use of
nonverbal communication as measurable evidence of social and psychological phenomena …

From facial expression recognition to interpersonal relation prediction

Z Zhang, P Luo, CC Loy, X Tang - International Journal of Computer Vision, 2018 - Springer
Interpersonal relation defines the association, eg, warm, friendliness, and dominance,
between two or more people. We investigate if such fine-grained and high-level relation …

Hawkes processes for events in social media

MA Rizoiu, Y Lee, S Mishra, L **e - Frontiers of multimedia research, 2017 - dl.acm.org
This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

Deep learning for video classification and captioning

Z Wu, T Yao, Y Fu, YG Jiang - Frontiers of multimedia research, 2017 - dl.acm.org
Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …

Laeo-net: revisiting people looking at each other in videos

MJ Marin-Jimenez, V Kalogeiton… - Proceedings of the …, 2019 - openaccess.thecvf.com
Capturing the'mutual gaze'of people is essential for understanding and interpreting the
social interactions between them. To this end, this paper addresses the problem of detecting …

The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective

W Jia, M Liu, H Jiang, I Ananthabhotla… - Proceedings of the …, 2024 - openaccess.thecvf.com
In recent years the thriving development of research related to egocentric videos has
provided a unique perspective for the study of conversational interactions where both visual …

Improving social awareness through dante: Deep affinity network for clustering conversational interactants

M Swofford, J Peruzzi, N Tsoi, S Thompson… - Proceedings of the …, 2020 - dl.acm.org
We propose a data-driven approach to detect conversational groups by identifying spatial
arrangements typical of these focused social encounters. Our approach uses a novel Deep …

Perceiving the person and their interactions with the others for social robotics–a review

A Tapus, A Bandera, R Vazquez-Martin… - Pattern Recognition …, 2019 - Elsevier
Social robots need to understand human activities, dynamics, and the intentions behind their
behaviors. Most of the time, this implies the modeling of the whole scene. The recognition of …

Appgan: Generative adversarial networks for generating robot approach behaviors into small groups of people

F Yang, C Peters - 2019 28th IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Robots that navigate to approach free-standing conversational groups should do so in a
safe and socially acceptable manner. This is challenging since it not only requires the robot …