6 papers
ReJSHand: Efficient Real-Time Hand Pose Estimation and Mesh Reconstruction Using Refined Joint and Skeleton Features
Shan An, Shipeng Dai, Mahrukh Ansari +5
Accurate hand pose estimation is vital in robotics, advancing dexterous manipulation in human-computer interaction. Toward this goal, this paper presents ReJSHand (which stands for…
Future Aspects in Human Action Recognition: Exploring Emerging Techniques and Ethical Influences
Antonios Gasteratos, Stavros N. Moutsis, Konstantinos A. Tsintotas +1
Visual-based human action recognition can be found in various application fields, e.g., surveillance systems, sports analytics, medical assistive technologies, or human-robot inter…
Spiking neural networks: Towards bio-inspired multimodal perception in robotics
Katerina Maria Oikonomou, Vasiliki Balaska, Konstantinos A. Tsintotas +3
Spiking neural networks (SNNs) have captured apparent interest over the recent years, stemming from neuroscience and reaching the field of artificial intelligence. However, due to…
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition
Antonios Gasteratos, Konstantinos A. Tsintotas, Tobias Fischer +2
Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists,…
Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems
Shan An, Fangru Zhou, Mei Yang +3
Estimating a scene's depth to achieve collision avoidance against moving pedestrians is a crucial and fundamental problem in the robotic field. This paper proposes a novel, low com…
Fast Monocular Hand Pose Estimation on Embedded Systems
Shan An, Xiajie Zhang, Dong Wei +3
Hand pose estimation is a fundamental task in many human-robot interaction-related applications. However, previous approaches suffer from unsatisfying hand landmark predictions in…