activity
20182026
most citedA Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

201 citations · 354 across the 19 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.HC2021★ 3 cited

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…

cs.LG2021★ 39 cited

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…

cs.HC2021★ 17 cited

A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors

Maxime Devanne, Sao Mai Nguyen, Olivier Rémy-Néris +3

The rising number of the elderly incurs growing concern about healthcare, and in particular rehabilitation healthcare. Assistive technology and assistive robotics in particular may…

cs.HC2021★ 201 cited

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…

cs.AI2021★ 10 cited

Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

Nicolas Duminy, Sao Mai Nguyen, Junshuai Zhu +2

In open-ended continuous environments, robots need to learn multiple parameterised control tasks in hierarchical reinforcement learning. We hypothesise that the most complex tasks…