Results 21 to 30 of about 3,896,989 (280)

TY-Net: Transforming YOLO for Hand Gesture Recognition

IEEE Access, 2023
Hand gesture recognition is a rapidly expanding field with diverse applications, and the use of skeleton-based methods is gaining popularity due to their potential for lightweight execution on embedded devices.
Zorana Dozdor, Zoran Kalafatic, Zeljko Ban, Tomislav Hrkac   +3 more
doaj   +1 more source

Real time hand gesture recognition including hand segmentation and tracking [PDF]

, 2006
In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling ...
Sutherland, Alistair, Thomas Coogan, Junwei Han, Han, Junwei, Coogan, Thomas, Awad, George M., George Awad, Alistair Sutherland   +7 more
core   +2 more sources

Combined Hand Gesture — Speech Model for Human Action Recognition

Sensors, 2013
This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate.
Sheng-Tzong Cheng, Chih-Wei Hsu, Jian-Pan Li   +2 more
doaj   +1 more source

Hand Gesture Recognition Based on Active Ultrasonic Sensing of Smartphone: A Survey

IEEE Access, 2019
With the rapid development of Internet of Things, hand gesture recognition has drawn wide attention in the field of ubiquitous computing because it provides us with simple and natural human-computer interaction mode.
Zhengjie Wang, Yushan Hou, Kangkang Jiang, Wenwen Dou, Chengming Zhang, Zehua Huang, Yinjing Guo   +6 more
doaj   +1 more source

Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove

Scientific Reports, 2022
Hand gesture recognition is one of the most widely explored areas under the human–computer interaction domain. Although various modalities of hand gesture recognition have been explored in the last three decades, in recent years, due to the availability ...
Md. Ahasan Atick Faisal, Farhan Fuad Abir, Mosabber Uddin Ahmed, Md Atiqur Rahman Ahad   +3 more
doaj   +1 more source

Real-Time Hand Gesture Spotting and Recognition Using RGB-D Camera and 3D Convolutional Neural Network

Applied Sciences, 2020
Using hand gestures is a natural method of interaction between humans and computers. We use gestures to express meaning and thoughts in our everyday conversations.
Dinh-Son Tran, Ngoc-Huynh Ho, Hyung-Jeong Yang, Eu-Tteum Baek, Soo-Hyung Kim, Gueesang Lee   +5 more
doaj   +1 more source

Hand Gesture Recognition Library

CoRR, 2015
In this paper we have presented a hand gesture recognition library. Various functions include detecting cluster count, cluster orientation, finger pointing direction, etc. To use these functions first the input image needs to be processed into a logical array for which a function has been developed. The library has been developed keeping flexibility in
Jonathan Fidelis Paul, Dibyabiva Seth, Cijo Paul, Jayati Ghosh Dastidar   +3 more
openaire   +3 more sources

Hand Gesture Recognition

REST Journal on Data Analytics and Artificial Intelligence
The "Real-Time Hand Gesture Recognition System" aims to enhance human-computer interaction using computer vision and machine learning techniques. Using the webcam for real-time video capture, the system uses OpenCV to process each frame in real-time. Thus, it recognizes hand gestures using models such as Cvzone's, Hand Detector or Mediapipe.
Gupta, Aashima, Balaji, Krishna, Kalra, Preeti   +2 more
  +4 more sources

Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking

Vietnam Journal of Computer Science, 2023
Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers.
Thu-Hien Le, Hoang-Nhat Tran, Phuong-Dung Nguyen, Hong-Quan Nguyen, Thuy-Binh Nguyen, Thanh-Hai Tran, Hai Vu, Thi-Thao Tran, Thi-Lan Le   +8 more
doaj   +1 more source

Real-time hand gesture recognition for uncontrolled environments using adaptive SURF tracking and hidden conditional random fields [PDF]

, 2013
Challenges from the uncontrolled environments are the main difficulties in making hand gesture recognition methods robust in real-world scenarios. In this paper, we propose a real-time and purely vision-based method for hand gesture recognition in ...
Yi Yao, Chang-Tsun Li, Yao, Yi, Li, Chang-Tsun   +3 more
core   +1 more source