Human movement datasets: An interdisciplinary scoping review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Deep learning and RGB-D based human action, human–human and human–object interaction recognition: A survey

P Khaire, P Kumar - Journal of Visual Communication and Image …, 2022 - Elsevier
Human activity recognition is one of the most studied topics in the field of computer vision. In
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …

Building affordance relations for robotic agents-a review

P Ardón, E Pairet, KS Lohan, S Ramamoorthy… - arXiv preprint arXiv …, 2021 - arxiv.org
Affordances describe the possibilities for an agent to perform actions with an object. While
the significance of the affordance concept has been previously studied from varied …

Cybersecurity of robotic systems: Leading challenges and robotic system design methodology

V Dutta, T Zielińska - Electronics, 2021 - mdpi.com
Recent years have seen a rapid development of the Internet of Things (IoT) and the growth
of autonomous robotic applications which are using network communications. Accordingly …

Data driven models for human motion prediction in human-robot collaboration

Q Li, Z Zhang, Y You, Y Mu, C Feng - IEEE Access, 2020 - ieeexplore.ieee.org
To improve the safety and effectiveness of human-robot collaboration (HRC), the robot must
plan a safe trajectory before the human movement is finished. Therefore, it is necessary to …

Multimodal uncertainty reduction for intention recognition in human-robot interaction

S Trick, D Koert, J Peters… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Assistive robots can potentially improve the quality of life and personal independence of
elderly people by supporting everyday life activities. To guarantee a safe and intuitive …

Robust human upper-limbs trajectory prediction based on gaussian mixture prediction

Q Li, L Zhang, M Zhang, Y Du, K Liu, C Feng - IEEE Access, 2023 - ieeexplore.ieee.org
Accurate prediction of human motion trajectory can improve the security of human-robot
cooperation. Due to the unstructured nature of collaborative workspace and the uncertainty …

MIUIC: A human-computer collaborative multimodal intention-understanding algorithm incorporating comfort analysis

L Zhou, Z Feng, H Wang, Q Guo - International Journal of Human …, 2023 - Taylor & Francis
The naturalness and safety of human-computer interaction have always been primary
research focuses in the field of human-computer interaction. This paper proposes a …

Prognosing human activity using actions forecast and structured database

V Dutta, T Zielinska - IEEE Access, 2020 - ieeexplore.ieee.org
The goal of this work is to forecast human activities that may require robot assistance. Each
activity consists of consecutive actions. Each action is bounded by initial and final state and …

Complex human–object interactions analyzer using a DCNN and SVM hybrid approach

CN Phyo, TT Zin, P Tin - Applied Sciences, 2019 - mdpi.com
Featured Application This research can be applied to the abnormal behavior detection
system for the elderly by analyzing daily activities. Abstract Nowadays, with the emergence …