Results 31 to 40 of about 4,035,908 (242)

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

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

A framework for real-time hand gesture recognition in uncontrolled environments with partition matrix model based on hidden conditional random fields [PDF]

, 2013
The main obstructions of making hand gesture recognition methods robust in real-world applications are the challenges from the uncontrolled environments, including: gesturing hand out of the scene, pause during gestures, complex background, skin-coloured
Yi Yao, Chang-Tsun Li, Yao, Yi, Li, Chang-Tsun   +3 more
core   +1 more source

Lixdh12/Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network:

, 2021
Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and ...
Sparsha Saha, mohammed-Emad
core   +1 more source

Instant 3D design concept generation and visualization by real-time hand gesture recognition [PDF]

, 2013
3D conceptual design is a creative process. While the designers are in the inspirational mode, they want to quickly express the design ideas in 3D and visualize it in real time without obstacle.
Wright, David, Kang, J, Wang, H, Wang, Hongan, Wright, D, Zhong, K, Qin, SF, Kang, Jinsheng, Qin, Sheng-feng, Zhong, Kang   +9 more
core   +1 more source

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

Development of Hand Gesture Based Electronic Key Using Microsoft Kinect

MATEC Web of Conferences, 2018
Computer vision is one of the fields of research that can be applied in a various subject. One application of computer vision is the hand gesture recognition system. The hand gesture is one of the ways to interact with computers or machines.
Ramadhani Arief, Rizal Achmad, Susanto Erwin   +2 more
doaj   +1 more source

Skeleton-Based Dynamic Hand Gesture Recognition Using an Enhanced Network with One-Shot Learning

Applied Sciences, 2020
Dynamic hand gesture recognition based on one-shot learning requires full assimilation of the motion features from a few annotated data. However, how to effectively extract the spatio-temporal features of the hand gestures remains a challenging issue ...
Chunyong Ma, Shengsheng Zhang, Anni Wang, Yongyang Qi, Ge Chen   +4 more
doaj   +1 more source