213 citations · 461 across the 9 of their papers we have counts for
9 papers
CBF-AFA: Chunk-Based Multi-SSL Fusion for Automatic Fluency Assessment
Papa Séga Wade, Mihai Andries, Ioannis Kanellos +1
Automatic fluency assessment (AFA) remains challenging, particularly in capturing speech rhythm, pauses, and disfluencies in non-native speakers. We introduce a chunk-based approac…
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…
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
The ability of artificial agents to increment their capabilities when confronted with new data is an open challenge in artificial intelligence. The main challenge faced in such cas…
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…
Initial Classifier Weights Replay for Memoryless Class Incremental Learning
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
Incremental Learning (IL) is useful when artificial systems need to deal with streams of data and do not have access to all data at all times. The most challenging setting requires…
How An Automated Gesture Imitation Game Can Improve Social Interactions With Teenagers With ASD
Linda Nanan Vallée, Sao Mai Nguyen, Christophe Lohr +2
With the outlook of improving communication and social abilities of people with ASD, we propose to extend the paradigm of robot-based imitation games to ASD teenagers. In this pape…
Building an Automated Gesture Imitation Game for Teenagers with ASD
Linda Nanan Vallée, Christophe Lohr, Sao Mai Nguyen +2
Autism spectrum disorder is a neurodevelopmental condition that includes issues with communication and social interactions. People with ASD also often have restricted interests and…