Home Activity Monitoring
0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Home Activity Monitoring
DAHLIA
Latest papers with no code
When Complexity Is Good: Do We Need Recurrent Deep Learning For Time Series Outlier Detection?
Recurrent deep learning methods have a larger capacity for learning complex representations in time series data.
Home Activity Monitoring using Low Resolution Infrared Sensor
We evaluate the proposed method on a state-of-the-art dataset and experimentally confirm that our approach outperforms the baseline method.
SAM-GCNN: A Gated Convolutional Neural Network with Segment-Level Attention Mechanism for Home Activity Monitoring
To tackle this task, we propose a gated convolutional neural network with segment-level attention mechanism (SAM-GCNN).
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks
In this paper, we investigate the performance of several sequence prediction techniques on the prediction of future events of human behavior in a smart home, as well as the timestamps of those next events.
