A convolutional neural network with feature fusion for real-time hand posture recognition

Real Time ◽

Feature Fusion ◽

Hand Posture ◽

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Lecture Notes in Computer Science ◽

Hand Posture Recognition Using Convolutional Neural Network

10.1007/978-3-319-75193-1_53 ◽

2018 ◽

pp. 441-449 ◽

Cited By ~ 1

Author(s):

Dennis Núñez Fernández ◽

Bogdan Kwolek

Keyword(s):

Neural Network ◽

Hand Posture ◽

Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum learning

2014 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2014.7025171 ◽

2014 ◽

Cited By ~ 12

Author(s):

Takayoshi Yamashita ◽

Taro Watasue

Keyword(s):

Neural Network ◽

Deep Convolutional Neural Network ◽

Hand Posture ◽

Bottom Up ◽

Artificial Neural Networks and Machine Learning – ICANN 2014 - Lecture Notes in Computer Science ◽

A Multichannel Convolutional Neural Network for Hand Posture Recognition

10.1007/978-3-319-11179-7_51 ◽

2014 ◽

pp. 403-410 ◽

Cited By ~ 28

Author(s):

Pablo Barros ◽

Sven Magg ◽

Cornelius Weber ◽

Stefan Wermter

Keyword(s):

Neural Network ◽

Hand Posture ◽

Lecture Notes in Electrical Engineering - Transactions on Engineering Technologies ◽

A Neural-Network-Based Hand Posture Recognition Method

10.1007/978-94-007-7684-5_14 ◽

2013 ◽

pp. 187-201 ◽

Cited By ~ 1

Author(s):

Yea Shuan Huang ◽

Yun Jiun Wang

Keyword(s):

Neural Network ◽

Hand Posture ◽

Recognition Method ◽

A new framework for sign language alphabet hand posture recognition using geometrical features through artificial neural network (part 1)

Neural Computing and Applications ◽

10.1007/s00521-020-05279-7 ◽

2020 ◽

Author(s):

Hoshang Kolivand ◽

Saba Joudaki ◽

Mohd Shahrizal Sunar ◽

David Tully

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Sign Language ◽

Hand Posture ◽

Geometrical Features ◽

Posture Recognition ◽

Artificial Neural ◽

New Framework

In-Air Gesture Interaction: Real Time Hand Posture Recognition Using Passive RFID Tags

IEEE Access ◽

10.1109/access.2019.2928318 ◽

2019 ◽

Vol 7 ◽

pp. 94460-94472 ◽

Cited By ~ 7

Author(s):

Kang Cheng ◽

Ning Ye ◽

Reza Malekian ◽

Ruchuan Wang

Keyword(s):

Real Time ◽

Rfid Tags ◽

Hand Posture ◽

Gesture Interaction ◽

Posture Recognition ◽

Passive Rfid

Real-Time Hand Posture Recognition for Human-Robot Interaction Tasks

Sensors ◽

10.3390/s16010036 ◽

2016 ◽

Vol 16 (1) ◽

pp. 36 ◽

Cited By ~ 5

Author(s):

Uriel Hernandez-Belmonte ◽

Victor Ayala-Ramirez

Keyword(s):

Real Time ◽

Human Robot Interaction ◽

Hand Posture ◽

Robot Interaction ◽

Real-time hand posture recognition using range data

Image and Vision Computing ◽

10.1016/j.imavis.2007.11.007 ◽

2008 ◽

Vol 26 (7) ◽

pp. 1027-1037 ◽

Cited By ~ 50

Author(s):

S. Malassiotis ◽

M.G. Strintzis

Keyword(s):

Real Time ◽

Range Data ◽

Hand Posture ◽

Real-time hand posture recognition based on hand dominant line using kinect

2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) ◽

10.1109/icmew.2013.6618237 ◽

2013 ◽

Cited By ~ 1

Author(s):

Yue Wang ◽

Ruoyu Yang

Keyword(s):

Real Time ◽

Hand Posture ◽

An implementation of sign language alphabet hand posture recognition using geometrical features through artificial neural network (part 2)

Neural Computing and Applications ◽

10.1007/s00521-021-06025-3 ◽

2021 ◽

Author(s):

Hoshang Kolivand ◽

Saba Joudaki ◽

Mohd Shahrizal Sunar ◽

David Tully

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Sign Language ◽

Hand Posture ◽

Geometrical Features ◽

Posture Recognition ◽

Artificial Neural