Papers Home Activity Monitoring
“Home Activity Monitoring” 태그가 달린 논문 4편 · 필터 해제
When Complexity Is Good: Do We Need Recurrent Deep Learning For Time Series Outlier Detection?
Outlier detection is a critical part of understanding a dataset and extracting results. Outlier detection is used in different domains for various reasons; including detecting stolen credit cards, spikes of energy usage,…
Home Activity MonitoringOutlier DetectionTime SeriesTime Series AnalysisHome Activity Monitoring using Low Resolution Infrared Sensor
Action monitoring in a home environment provides important information for health monitoring and may serve as input into a smart home environment. Visual analysis using cameras can recognise actions in a complex scene, s…
Home Activity MonitoringSpecificitySAM-GCNN: A Gated Convolutional Neural Network with Segment-Level Attention Mechanism for Home Activity Monitoring
In this paper, we propose a method for home activity monitoring. We demonstrate our model on dataset of Detection and Classification of Acoustic Scenes and Events (DCASE) 2018 Challenge Task 5. This task aims to classify…
Home Activity MonitoringHuman 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. Prediction tec…
Activity PredictionActivity RecognitionData CompressionHome Activity Monitoring+3