Hand gesture recognition based on computer vision: a review of techniques
Hand gestures are a form of nonverbal communication that can be used in several fields
such as communication between deaf-mute people, robot control, human–computer …
such as communication between deaf-mute people, robot control, human–computer …
A systematic review on hand gesture recognition techniques, challenges and applications
Background With the development of today's technology, and as humans tend to naturally
use hand gestures in their communication process to clarify their intentions, hand gesture …
use hand gestures in their communication process to clarify their intentions, hand gesture …
Hand gesture recognition via radar sensors and convolutional neural networks
In this communication, a low-cost radar-sensor-based apparatus for contactless hand
gesture recognition via Doppler signature analysis is proposed. The raw reflected signal …
gesture recognition via Doppler signature analysis is proposed. The raw reflected signal …
Implementation and Analysis of AI‐Based Gesticulation Control for Impaired People
S Nivash, EN Ganesh, T Manikandan… - Wireless …, 2022 - Wiley Online Library
This paper presents an intelligent human PC intuitive framework. In this proposed work,
artificial intelligence is utilized for home mechanization, which perceives human motions …
artificial intelligence is utilized for home mechanization, which perceives human motions …
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 …
IMU sensor-based hand gesture recognition for human-machine interfaces
M Kim, J Cho, S Lee, Y Jung - Sensors, 2019 - mdpi.com
We propose an efficient hand gesture recognition (HGR) algorithm, which can cope with
time-dependent data from an inertial measurement unit (IMU) sensor and support real-time …
time-dependent data from an inertial measurement unit (IMU) sensor and support real-time …
[Retracted] Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network
Y Liu, D Jiang, H Duan, Y Sun, G Li… - Computational …, 2021 - Wiley Online Library
Gesture recognition is one of the important ways of human‐computer interaction, which is
mainly detected by visual technology. The temporal and spatial features are extracted by …
mainly detected by visual technology. The temporal and spatial features are extracted by …
Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images
Y Sun, Y Weng, B Luo, G Li, B Tao… - IET Image …, 2023 - Wiley Online Library
With the rapid development of sensor technology and artificial intelligence, the video gesture
recognition technology under the background of big data makes human‐computer …
recognition technology under the background of big data makes human‐computer …
Real-time recognition of Indian sign language
The real-time sign language recognition system is developed for recognising the gestures of
Indian Sign Language (ISL). Generally, sign languages consist of hand gestures and facial …
Indian Sign Language (ISL). Generally, sign languages consist of hand gestures and facial …
Human activity recognition based on wearable sensor using hierarchical deep LSTM networks
LK Wang, RY Liu - Circuits, Systems, and Signal Processing, 2020 - Springer
In recent years, with the rapid development of artificial intelligence, human activity
recognition has become a research focus. The complex, dynamic and variable features of …
recognition has become a research focus. The complex, dynamic and variable features of …