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Found 6 papers, 0 papers with code
Personalized fall detection monitoring system based on learning from the user movements
For the feature selection module, more research into selecting features based on one class data.
Exploring the weather impact on bike sharing usage through a clustering analysis
Other studies propose to extend the approach by including weather data.
Classification and Recognition of Encrypted EEG Data Neural Network
With the rapid development of Machine Learning technology applied in electroencephalography (EEG) signals, Brain-Computer Interface (BCI) has emerged as a novel and convenient human-computer interaction for smart home, intelligent medical and other Internet of Things (IoT) scenarios.
Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture
Using raw sensor data to model and train networks for Human Activity Recognition can be used in many different applications, from fitness tracking to safety monitoring applications.
Human Activity Recognition Using Visual Object Detection
Visual Human Activity Recognition (HAR) and data fusion with other sensors can help us at tracking the behavior and activity of underground miners with little obstruction.
Modeling Based on Elman Wavelet Neural Network for Class-D Power Amplifiers
In Class-D Power Amplifiers (CDPAs), the power supply noise can intermodulate with the input signal, manifesting into power-supply induced intermodulation distortion (PS-IMD) and due to the memory effects of the system, there exist asymmetries in the PS-IMDs.
