Now showing items 1-5 of 5
An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors
(Institute of Electrical and Electronics Engineers Inc., 2021)
Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical ...
Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron
Applied sensing technology has made it possible for human beings to experience a revolutionary aspect of the science and technology world. Along with many other fields in which this technology is working wonders, human ...
An Intelligent HealthCare Monitoring Framework for Daily Assistant Living
(Tech Science Press, 2022)
Human Activity Recognition (HAR) plays an important role in life care and health monitoring since it involves examining various activities of patients at homes, hospitals, or offices. Hence, the proposed system integrates ...
Home Automation-Based Health Assessment along Gesture Recognition via Inertial Sensors
(Tech Science Press, 2023)
Hand gesture recognition (HGR) is used in a numerous applications, including medical health-care, industrial purpose and sports detection. We have developed a real-time hand gesture recognition system using inertial sensors ...
Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning
Brain tumor classification is crucial for medical evaluation in computer-assisted diagnostics (CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) can be time-consuming and complex, leading ...