Activities recognition, anomaly detection and next activity prediction based on neural networks in smart homes
In this paper, we propose a unified deep learning model for monitoring elderly in execution
of daily life activities such as eating, sleeping or taking medication. The proposed approach …
of daily life activities such as eating, sleeping or taking medication. The proposed approach …
Passive Infrared Sensor-Based Occupancy Monitoring in Smart Buildings: A Review of Methodologies and Machine Learning Approaches
Buildings are rapidly becoming more digitized, largely due to developments in the internet of
things (IoT). This provides both opportunities and challenges. One of the central challenges …
things (IoT). This provides both opportunities and challenges. One of the central challenges …
Pelican Gorilla Troop Optimization Based on Deep Feed Forward Neural Network for Human Activity Abnormality Detection in Smart Spaces
Healthcare management can be improved using artificial intelligence-powered Internet of
Things (IoT) for remotely collecting and analyzing medical data. Home-based IoT healthcare …
Things (IoT) for remotely collecting and analyzing medical data. Home-based IoT healthcare …
Activity recognition using unsupervised learning
In developing a high-performance generic algorithm capable of managing multiple
environments, the main challenges are the large and very different data sets and the …
environments, the main challenges are the large and very different data sets and the …