Scale-adaptive gesture computing: detection, tracking and recognition in controlled complex environments

AM Kirupakaran, RH Laskar - Machine Vision and Applications, 2024 - Springer
Complexity intensifies when gesticulations span various scales. Traditional scale-invariant
object recognition methods often falter when confronted with case-sensitive characters in the …

Impact of Colour Image and Skeleton Plotting on Sign Language Recognition Using Convolutional Neural Networks (CNN)

A Singh, FE Hashmi, N Tyagi… - 2024 14th International …, 2024 - ieeexplore.ieee.org
The significance of sign language lies in its role in communicating and expressing the views
of the deaf and hard-of-hearing community. In a world where verbal communication is one of …

[HTML][HTML] Gesture Recognition and Hand Tracking for Anti-Counterfeit Palmvein Recognition

J Xu, L Leng, BG Kim - Applied Sciences, 2023 - mdpi.com
At present, COVID-19 is posing a serious threat to global human health. The features of
hand veins in infrared environments have many advantages, including non-contact …

Continuous Gesture Sequences Recognition Based on Few‐Shot Learning

Z Liu, C Pan, H Wang - International Journal of Aerospace …, 2022 - Wiley Online Library
A large number of demands for space on‐orbit services to ensure the on‐orbit system
completes its specified tasks are foreseeable, and the efficiency and the security are the …

Simple and Efficient Gesture Recognition Based on Frequency Modulated Continuous Wave Radar

L Qiao, Z Wang, Y Shu, B Xiao, X Luan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the development of technology, using radar for gesture recognition is feasible and
valuable. However, ensuring that gesture recognition can be applied to a wide range of …

[PDF][PDF] New blender-based augmentation method with quantitative evaluation of CNNs for hand gesture recognition

HG Doan, NT Nguyen - Indonesian Journal of Electrical Engineering …, 2023 - academia.edu
In this study, we extensively analyze and evaluate the performance of recent deep neural
networks (DNNs) for hand gesture recognition and static gestures in particular. To this end …

Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition from Video Sequences

F Al Farid, N Hashim, J Abdullah, MR Bhuiyan… - IEEE …, 2024 - ieeexplore.ieee.org
With an increasing number of people on the planet today, innovative human-computer
interaction technologies and approaches may be employed to assist individuals in leading …

[HTML][HTML] Forward hand gesture spotting and prediction using HMM-DNN model

M Elmezain, MM Alwateer, R El-Agamy, E Atlam… - Informatics, 2022 - mdpi.com
Automatic key gesture detection and recognition are difficult tasks in Human–Computer
Interaction due to the need to spot the start and the end points of the gesture of interest. By …

[Retracted] Teachers' Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm

Y Jin - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
With the popularization of standardized classrooms in colleges and universities, it is
possible to collect video data of students' class status through the camera device in the …

Survey on vision-based dynamic hand gesture recognition

R Tripathi, B Verma - The Visual Computer, 2023 - Springer
To communicate with one another hand, gesture is very important. The task of using the
hand gesture in technology is influenced by a very common way humans communicate with …