Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Nicole A. Capela
Feature Selection for Wearable Smartphone-Based Human Activity Recognition With Able Bodied, Elderly, and Stroke Patients
PLoS ONE
Multidisciplinary
Related publications
Regression-Based Feature Selection on Large Scale Human Activity Recognition
International Journal of Advanced Computer Science and Applications
Computer Science
Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework
Journal of Electrical and Computer Engineering
Electronic Engineering
Signal Processing
Electrical
Computer Science
Elderly Activity Recognition Using Smartphones and Wearable Devices
Towards Human Activity Recognition: A Hierarchical Feature Selection Framework
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
A Novel Hybrid Framework for Optimal Feature Selection and Classification of Human Activity Recognition
International Journal of Engineering and Technology(UAE)
Architecture
Hardware
Engineering
Chemical Engineering
Biotechnology
Environmental Engineering
Computer Science
Activity Recognition for Ergonomics Assessment of Industrial Tasks With Automatic Feature Selection
IEEE Robotics and Automation Letters
Control
Systems Engineering
Mechanical Engineering
Pattern Recognition
Human-Computer Interaction
Optimization
Computer Vision
Computer Science Applications
Biomedical Engineering
Artificial Intelligence
Physical Workload Tracking Using Human Activity Recognition With Wearable Devices
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Salient Feature Selection for CNN-Based Visual Place Recognition
IEICE Transactions on Information and Systems
Electronic Engineering
Pattern Recognition
Hardware
Computer Vision
Electrical
Architecture
Artificial Intelligence
Software
Deep Learning Approaches for Human Activity Recognition Using Wearable Technology
Medicinski podmladak
