A structured and methodological review on vision-based hand gesture recognition system
Researchers have recently focused their attention on vision-based hand gesture
recognition. However, due to several constraints, achieving an effective vision-driven hand …
recognition. However, due to several constraints, achieving an effective vision-driven hand …
Exploration of deep learning models for localizing bare-hand in the practical environment
Detection and tracking of the bare-hand are vital for gesture-based human–computer
interaction systems. To detect and track the bare-hand efficiently in successive frames is …
interaction systems. To detect and track the bare-hand efficiently in successive frames is …
End-to-end bare-hand localization system for human–computer interaction: a comprehensive analysis and viable solution
Accurately localizing bare-hands is crucial for human–computer interaction systems. In real-
time systems, computational time plays a pivotal role in achieving this task within a specified …
time systems, computational time plays a pivotal role in achieving this task within a specified …
Design and development of a vision‐based system for detection, tracking and recognition of isolated dynamic bare hand gesticulated characters
Detection and tracking are the vital stages to form the gesture trajectory in gesture
recognition. It becomes more challenging when the variations in illumination, pose, position …
recognition. It becomes more challenging when the variations in illumination, pose, position …
A selective region-based detection and tracking approach towards the recognition of dynamic bare hand gesture using deep neural network
Complexities such as variations in pose, scale, speed, illumination, occlusion, etc., in
detecting the gesture object at the first frame and tracking it in a dynamic environment make …
detecting the gesture object at the first frame and tracking it in a dynamic environment make …
Gesture objects detection and tracking for virtual text entry keyboard interface
Detection and tracking of the gesturing object is a vital stage in the field of dynamic gesture
recognition. It becomes more challenging in the practical environment due to the variation in …
recognition. It becomes more challenging in the practical environment due to the variation in …
Design of Human-Computer Interaction Gesture Tracking Model based on Improved PSO and KCF Algorithms
D He, Y Yang, R Wu - IEEE Access, 2024 - ieeexplore.ieee.org
The detection and tracking of gesture targets is an important aspect in the dynamic gesture
recognition. To meet the accuracy and speed requirements of human-computer interaction …
recognition. To meet the accuracy and speed requirements of human-computer interaction …
Deep Learning Based Post-stroke Myoelectric Gesture Recognition: From Feature Construction to Network Design
Recently, robot-assisted rehabilitation has emerged as a promising solution to increase the
training intensity of stroke patients while reducing workload on therapists, whilst surface …
training intensity of stroke patients while reducing workload on therapists, whilst surface …
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 …
object recognition methods often falter when confronted with case-sensitive characters in the …
Semantic hand gesture integration system using self-co-articulation and movement epenthesis detection
Recognizing hand gestures poses a formidable challenge, particularly when dealing with
semantic gestures that require disentanglement prior to recognition. This paper addresses …
semantic gestures that require disentanglement prior to recognition. This paper addresses …