A review of recent advances on deep learning methods for audio-visual speech recognition
This article provides a detailed review of recent advances in audio-visual speech
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …
Research progress of human–computer interaction technology based on gesture recognition
H Zhou, D Wang, Y Yu, Z Zhang - Electronics, 2023 - mdpi.com
Gesture recognition, as a core technology of human–computer interaction, has broad
application prospects and brings new technical possibilities for smart homes, medical care …
application prospects and brings new technical possibilities for smart homes, medical care …
Double bistable superposition strategy for improving the performance of triboelectric nanogenerator
J Liu, H Luo, T Yang, Y Cui, K Lu, W Qin - Mechanical Systems and Signal …, 2024 - Elsevier
The output of triboelectric nanogenerator (TENG) is related to the relative motion of friction
materials, and it is difficult for traditional bistable TENG to have a large amplitude in a small …
materials, and it is difficult for traditional bistable TENG to have a large amplitude in a small …
Domain adaptation with contrastive simultaneous multi-loss training for hand gesture recognition
Hand gesture recognition from images is a critical task with various real-world applications,
particularly in the field of human–robot interaction. Industrial environments, where non …
particularly in the field of human–robot interaction. Industrial environments, where non …
Audio–visual speech recognition based on regulated transformer and spatio–temporal fusion strategy for driver assistive systems
This article presents a research methodology for audio–visual speech recognition (AVSR) in
driver assistive systems. These systems necessitate ongoing interaction with drivers while …
driver assistive systems. These systems necessitate ongoing interaction with drivers while …
A signer-independent sign language recognition method for the single-frequency dataset
T Liu, T Tao, Y Zhao, M Li, J Zhu - Neurocomputing, 2024 - Elsevier
Currently, there are over 70 million people worldwide using more than 300 sign languages
for communication, resulting in a vast number of sign language categories. Sign language …
for communication, resulting in a vast number of sign language categories. Sign language …
Speaker independent VSR: A systematic review and futuristic applications
Speaker-independent visual speech recognition (VSR) is a complex task that involves
identifying spoken words or phrases from video recordings of a speaker's facial movements …
identifying spoken words or phrases from video recordings of a speaker's facial movements …
ST-TGR: Spatio-Temporal Representation Learning for Skeleton-Based Teaching Gesture Recognition
Z Chen, W Huang, H Liu, Z Wang, Y Wen, S Wang - Sensors, 2024 - mdpi.com
Teaching gesture recognition is a technique used to recognize the hand movements of
teachers in classroom teaching scenarios. This technology is widely used in education …
teachers in classroom teaching scenarios. This technology is widely used in education …
A multi-purpose audio-visual corpus for multi-modal Persian speech recognition: The Arman-AV dataset
Automatic lip reading has advanced significantly in recent years. However, these methods
need large-scale datasets that are scarce for many low-resource languages. In this paper …
need large-scale datasets that are scarce for many low-resource languages. In this paper …
Interpretation of Bahasa Isyarat Malaysia (BIM) Using SSD-MobileNet-V2 FPNLite and COCO mAP
This research proposes a study on two-way communication between deaf/mute and normal
people using an Android application. Despite advancements in technology, there is still a …
people using an Android application. Despite advancements in technology, there is still a …