Amanote Research
Register
Sign In
Handshape Recognition Using Skeletal Data
Sensors
- Switzerland
doi 10.3390/s18082577
Full Text
Open PDF
Abstract
Available in
full text
Categories
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Date
August 6, 2018
Authors
Tomasz Kapuscinski
Patryk Organisciak
Publisher
MDPI AG
Related search
Hand Posture Recognition Using Skeletal Data and Distance Descriptor
Applied Sciences (Switzerland)
Instrumentation
Materials Science
Fluid Flow
Engineering
Computer Science Applications
Process Chemistry
Transfer Processes
Technology
A Family of Divergences Between Φ-Probabilistic Sets With Application to Handshape Recognition
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Using Ocular Data for Unconstrained Biometric Recognition
Advances in Computational Intelligence and Robotics
Emotion Recognition Using Kinect Motion Capture Data of Human Gaits
PeerJ
Genetics
Molecular Biology
Biochemistry
Biological Sciences
Medicine
Agricultural
Neuroscience
Human Activity Recognition Using Accelerometer Data With Multi Class SVM
International Journal of Engineering Applied Sciences and Technology
Evaluation of Named Entity Recognition Algorithms Using Clinical Text Data
International Journal of Engineering and Technology(UAE)
Architecture
Hardware
Engineering
Chemical Engineering
Biotechnology
Environmental Engineering
Computer Science
Selection of Large-Scale 3D Point Cloud Data Using Gesture Recognition
IFIP Advances in Information and Communication Technology
Computer Networks
Information Systems
Management
Communications
Building Electronic Health Record Using Voice Recognition and Big Data Techniques
Feature Selection for Nonstationary Data: Application to Human Recognition Using Medical Biometrics
IEEE Transactions on Cybernetics
Control
Systems Engineering
Information Systems
Human-Computer Interaction
Electronic Engineering
Computer Science Applications
Electrical
Software