6G Internet of Things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize
customer services and applications via the Internet of Things (IoT) toward a future of fully …

Enabling AI in future wireless networks: A data life cycle perspective

DC Nguyen, P Cheng, M Ding… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …

[HTML][HTML] Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

G Amprimo, G Masi, G Pettiti, G Olmo, L Priano… - … Signal Processing and …, 2024 - Elsevier
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

Adaptive computationally efficient network for monocular 3d hand pose estimation

Z Fan, J Liu, Y Wang - Computer Vision–ECCV 2020: 16th European …, 2020 - Springer
Abstract 3D hand pose estimation is an important task for a wide range of real-world
applications. Existing works in this domain mainly focus on designing advanced algorithms …

Mobilehand: Real-time 3d hand shape and pose estimation from color image

GM Lim, P Jatesiktat, WT Ang - International Conference on Neural …, 2020 - Springer
We present an approach for real-time estimation of 3D hand shape and pose from a single
RGB image. To achieve real-time performance, we utilize an efficient Convolutional Neural …

Study on hand keypoint framework for sign language recognition

S Amaliya, AN Handayani, MI Akbar… - 2021 7th …, 2021 - ieeexplore.ieee.org
This study looks at the development of a sign language translation system that will serve as
a communication link between deaf and hearing people. The Indonesian Language Sign …

[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives

G Amprimo, G Masi, G Olmo, C Ferraris - Artificial Intelligence in Medicine, 2024 - Elsevier
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …

Camera-based hand tracking using a mirror-based multi-view setup

GM Lim, P Jatesiktat, CWK Kuah… - 2020 42nd annual …, 2020 - ieeexplore.ieee.org
Current clinical practice of measuring hand joint range of motion relies on a goniometer as it
is inexpensive, portable, and easy to use, but it can only measure the static angle of a single …

Detection-guided 3D hand tracking for mobile AR applications

Y Che, Y Qi - 2021 IEEE International Symposium on Mixed …, 2021 - ieeexplore.ieee.org
Interaction using bare hands is experiencing a growing interest in mobile-based Augmented
Reality (AR). Existing RGB-based works fail to provide a practical solution to identifying rich …

[PDF][PDF] Wireless AI: Enabling an AI-governed data life cycle

DC Nguyen, P Cheng, M Ding… - arxiv preprint arxiv …, 2020 - researchgate.net
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …