Optimal video processing and soft computing algorithms for human hand gesture recognition from real-time video
An essential component of building an automated hand gesture detection system is the
ability to extract hand movements using a single video camera. Results for hand extraction …
ability to extract hand movements using a single video camera. Results for hand extraction …
Fast hypercomplex continuous orthogonal moments
Q Zhang, F Huang - Expert Systems with Applications, 2024 - Elsevier
Image moments have attracted extensive attention from researchers because of their good
global feature description ability and geometric invariance. In recent years, with the wide …
global feature description ability and geometric invariance. In recent years, with the wide …
Recognition and classification of dynamic hand gestures by a wearable data-glove
This paper introduces a complete work-flow for the translation of dynamic isolated signs
based on data acquired from a data-glove. A sign language translation system based on a …
based on data acquired from a data-glove. A sign language translation system based on a …
Static hand gesture recognition based on hierarchical decision and classification of finger features
Y Li, P Zhang - Science Progress, 2022 - journals.sagepub.com
Considering that the distinctions among static hand gestures are the difference between
fingers sticking out, a method of grouping and classifying hand gestures step by step by …
fingers sticking out, a method of grouping and classifying hand gestures step by step by …
RGB-D feature extraction method for hand gesture recognition based on a new fast and accurate multi-channel cartesian Jacobi moment invariants
Due to the diversity of hand gestures uses in human computer interaction and the complexity
involved by gestures, many features have been proposed, however each feature has its own …
involved by gestures, many features have been proposed, however each feature has its own …
Application of a sEMG hand motion recognition method based on variational mode decomposition and ReliefF algorithm in rehabilitation medicine
Y Yuan - PloS one, 2024 - journals.plos.org
Hand motion intention recognition has been considered as one of the crucial research fields
for prosthetic control and rehabilitation medicine. In recent years, surface electromyogram …
for prosthetic control and rehabilitation medicine. In recent years, surface electromyogram …
Novel quaternion discrete shifted Gegenbauer moments of fractional-orders for color image analysis
KM Hosny, MM Darwish - Applied Mathematics and Computation, 2022 - Elsevier
Orthogonal moments (OMs) are used to extract features from color images. OMs with
fractional orders are better than the OMs with integer orders due to their ability to extract fine …
fractional orders are better than the OMs with integer orders due to their ability to extract fine …
New set of invariant quaternion Krawtchouk moments for color image representation and recognition
One of the most often used techniques to represent color images is quaternion algebra. This
study introduces the quaternion Krawtchouk moments, QKrMs, as a new set of moments to …
study introduces the quaternion Krawtchouk moments, QKrMs, as a new set of moments to …
Sign language recognition using hand mark analysis for vision-based system (HMASL)
Sign language recognition (SLR) is an essential study area that allows us to provide a better
communicating environment between humans and computers. Some prevailing and …
communicating environment between humans and computers. Some prevailing and …
Explicit quaternion krawtchouk moment invariants for finger-spelling sign language recognition
Sign recognition is a difficult task due to the complexity of its composition which uses signs
of different levels, words, facial expression, body posture and finger-spelling to convey …
of different levels, words, facial expression, body posture and finger-spelling to convey …