Title: Human Activity Recognition using Recurrent Neural Networks,
Abstract: Human activity recognition using smart home sensors is one of the bases of
ubiquitous computing in smart environments and a topic undergoing intense
research in the field of ambient assisted living. The increasingly large amount
of data sets calls for machine learning methods. In this paper, we introduce a
deep learning model that learns to classify human activities without using any
prior knowledge. For this purpose, a Long Short Term Memory (LSTM) Recurrent
Neural Network was applied to three real world smart home datasets. The results
of these experiments show that the proposed approach outperforms the existing
ones in terms of accuracy and performance.