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Hand gesture recognition with focus on leap motion: An overview, real world challenges and future directions
In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …
has been observed. Thus, significant progress has been made in the field of hand detection …
Smart healthcare hand gesture recognition using CNN-based detector and deep belief network
Gesture recognition in dynamic images is challenging in computer vision, automation and
medical field. Hand gesture tracking and recognition between both human and computer …
medical field. Hand gesture tracking and recognition between both human and computer …
Advances in the development and application of non-contact intraoperative image access systems
Z Liu, C Li, J Lin, H Xu, Y Xu, H Nan, W Cheng… - BioMedical Engineering …, 2024 - Springer
This article provides an overview of recent progress in the achievement of non-contact
intraoperative image control through the use of vision and sensor technologies in operating …
intraoperative image control through the use of vision and sensor technologies in operating …
[HTML][HTML] Classification of activities of daily living based on grasp dynamics obtained from a leap motion controller
Stroke is one of the leading causes of mortality and disability worldwide. Several evaluation
methods have been used to assess the effects of stroke on the performance of activities of …
methods have been used to assess the effects of stroke on the performance of activities of …
2MLMD: Multi-modal Leap Motion Dataset for Home Automation Hand Gesture Recognition Systems
In the field of multi-modal hand gesture recognition (HGR) systems, the scarcity of
comprehensive datasets poses a significant limitation to the development and evaluation of …
comprehensive datasets poses a significant limitation to the development and evaluation of …
A deep learning framework for surgery action detection
P Selvam - Deep learning in personalized healthcare and decision …, 2023 - Elsevier
Automatic surgical action detection in the operating room (OR) is a fundamental technique
for develo** next-generation intelligent surgical equipment and operational …
for develo** next-generation intelligent surgical equipment and operational …
Fisher-hht: A feature extraction approach for hand gesture recognition with a leap motion controller
In the last decades, Hand Gesture Recognition (HGR) has become one of the most
prominent research topics, due to its wide range of applications in computer vision. Various …
prominent research topics, due to its wide range of applications in computer vision. Various …
A novel public database of lymphoma for whole body diffusion-weighted mri
R Ferjaoui, S Boujnah, NEH Kraiem… - … on Cyberworlds (CW …, 2023 - ieeexplore.ieee.org
Lymphoma affects the human lymphatic system, it has become one of the leading causes of
patient deaths. Hence, accurate diagnosis is essential to help doctors prescribe a suitable …
patient deaths. Hence, accurate diagnosis is essential to help doctors prescribe a suitable …
[PDF][PDF] Hand gesture to control virtual keyboard using neural network
A Anandika, MI Rusydi, PP Utami… - JITCE (Journal of …, 2023 - pdfs.semanticscholar.org
Disability is a condition that can prevent a person from communicating and carrying out daily
activities [1]–[3]. based on data from WHO, there are approximately 15% of people …
activities [1]–[3]. based on data from WHO, there are approximately 15% of people …
Using Mid-Air Haptics to Guide Mid-Air Interactions
When users interact with mid-air gesture-based interfaces, it is not always clear what
interactions are available, or how they might be executed. Mid-air interfaces offer no tactile …
interactions are available, or how they might be executed. Mid-air interfaces offer no tactile …