Sign language production: A review
Sign Language is the dominant yet non-primary form of communication language used in
the deaf and hearing-impaired community. To make an easy and mutual communication …
the deaf and hearing-impaired community. To make an easy and mutual communication …
A survey on recent advances in Sign Language Production
Sign Language is the dominant form of communication language used in the Deaf and
hearing-impaired community. To make easy and mutual communication between the …
hearing-impaired community. To make easy and mutual communication between the …
[HTML][HTML] Real-time hand gesture recognition based on deep learning YOLOv3 model
Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
[HTML][HTML] American sign language alphabet recognition by extracting feature from hand pose estimation
Sign language is designed to assist the deaf and hard of hearing community to convey
messages and connect with society. Sign language recognition has been an important …
messages and connect with society. Sign language recognition has been an important …
Something personal from the metaverse: goals, topics, and contextual factors of self-disclosure in commercial social VR
Current Social VR literature provides limited insight on one of the most critical behaviors for
developing and maintaining interpersonal relationships: self-disclosure. Therefore, we …
developing and maintaining interpersonal relationships: self-disclosure. Therefore, we …
American sign language words recognition using spatio-temporal prosodic and angle features: A sequential learning approach
SB Abdullahi, K Chamnongthai - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …
These characteristics are usually during sign trajectory which yields similarity issues and …
Real-time isolated hand sign language recognition using deep networks and SVD
One of the challenges in computer vision models, especially sign language, is real-time
recognition. In this work, we present a simple yet low-complex and efficient model …
recognition. In this work, we present a simple yet low-complex and efficient model …
[HTML][HTML] Hand gesture recognition based on auto-landmark localization and reweighted genetic algorithm for healthcare muscle activities
Due to the constantly increasing demand for the automatic localization of landmarks in hand
gesture recognition, there is a need for a more sustainable, intelligent, and reliable system …
gesture recognition, there is a need for a more sustainable, intelligent, and reliable system …
[HTML][HTML] Multiple Kinect based system to monitor and analyze key performance indicators of physical training
K Ryselis, T Petkus, T Blažauskas… - … -Centric Computing and …, 2020 - Springer
Using a single Kinect device for human skeleton tracking and motion tracking lacks of
reliability required in sports medicine and rehabilitation domains. Human joints …
reliability required in sports medicine and rehabilitation domains. Human joints …
[HTML][HTML] Reconstruction of industrial and historical heritage for cultural enrichment using virtual and augmented reality
L Paulauskas, A Paulauskas, T Blažauskas… - Technologies, 2023 - mdpi.com
Because of its benefits in providing an engaging and mobile environment, virtual reality (VR)
has recently been rapidly adopted and integrated in education and professional training …
has recently been rapidly adopted and integrated in education and professional training …