Now showing items 191-194 of 194
Feature learning for human activity recognition using convolutional neural networks: A case study for inertial measurement unit and audio data
The use of Convolutional Neural Networks (CNNs) as a feature learning method for Human Activity Recognition (HAR) is becoming more and more common. Unlike conventional machine learning methods, which require domain-specific ...
Energy-based decision engine for household human activity recognition
We propose a framework for energy-based human activity recognition in a household environment. We apply machine learning techniques to infer the state of household appliances from their energy consumption data and use ...
Reality and Perception: Activity monitoring and data collection within a real-world smart home
Smart home technologies have been developing rapidly in the last few years. However, there is still a lack of annotated rich datasets that can be used for different analysis purposes by researchers. The motivation for ...
Enhanced Multi-Source Data Analysis for Personalized Sleep-Wake Pattern Recognition and Sleep Parameter Extraction
Sleep behavior is traditionally monitored with polysomnography, and sleep stage patterns are a key marker for sleep quality used to detect anomalies and diagnose diseases. With the growing demand for personalized healthcare ...