201 citations · 244 across the 5 of their papers we have counts for
5 papers
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition
Damien Bouchabou, Sao Mai Nguyen
Within the evolving landscape of smart homes, the precise recognition of daily living activities using ambient sensor data stands paramount. This paper not only aims to bolster exi…
Human Activity Recognition (HAR) in Smart Homes
Damien Bouchabou, Christophe Lohr, Ioannis Kanellos +1
Generally, Human Activity Recognition (HAR) consists of monitoring and analyzing the behavior of one or more persons in order to deduce their activity. In a smart home context, the…
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes
Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr +2
Long Short Term Memory LSTM-based structures have demonstrated their efficiency for daily living recognition activities in smart homes by capturing the order of sensor activations…
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning
Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr +2
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors have encouraged the development of smart environments, such as smart homes. Smart…
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes
Damien Bouchabou, Sao Nguyen, Christophe Lohr +2
Activity recognition in smart homes is essential when we wish to propose automatic services for the inhabitants. However, it poses challenges in terms of variability of the environ…