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Fall Detection With UWB Radars and CNN-LSTM Architecture

IEEE journal of biomedical and health informatics, 2021-04, Vol.25 (4), p.1273-1283

2021

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Extraction of sequential patterns from the web for human activity recognition

Expert systems with applications, 2024-12, Vol.257, p.124966, Article 124966

2024

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Recognizing multi-resident activities in non-intrusive sensor-based smart homes by formal concept analysis

Neurocomputing (Amsterdam), 2018-11, Vol.318, p.75-89

2018

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Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention

Sensors (Basel, Switzerland), 2024-01, Vol.24 (3), p.884

2024

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Activity Recognition in Smart Homes using UWB Radars

Procedia computer science, 2020, Vol.170, p.10-17

2020

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Predicting levels of prolonged grief disorder symptoms during the COVID-19 pandemic: An integrated approach of classical data exploration, predictive machine learning, and explainable AI

Journal of affective disorders, 2024-04, Vol.351, p.746-754

2024

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User action and facial expression recognition for error detection system in an ambient assisted environment

Expert systems with applications, 2018-12, Vol.112, p.173-189

2018

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Object recognition in performed basic daily activities with a handcrafted data glove prototype

Pattern recognition letters, 2021-07, Vol.147, p.181-188

2021

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The Virtual Environment for Rapid Prototyping of the Intelligent Environment

Sensors (Basel, Switzerland), 2017-11, Vol.17 (11), p.2562

2017

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LE2ML: a microservices-based machine learning workbench as part of an agnostic, reliable and scalable architecture for smart homes

Journal of ambient intelligence and humanized computing, 2023-06, Vol.14 (6), p.6563-6584

2023

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Web-based objects detection to discover key objects in human activities

Journal of ambient intelligence and humanized computing, 2023-04, Vol.14 (4), p.3041-3056

2023

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Tracking objects within a smart home

Expert systems with applications, 2018-12, Vol.113, p.428-442

2018

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Investigating anxiety levels in the Quebec university community during the COVID-19 pandemic using machine learning and data exploration techniques

Multimedia tools and applications, 2023-12, Vol.82 (29), p.46109-46127

2023

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A novel Bluetooth low energy based system for spatial exploration in smart cities

Expert systems with applications, 2017-07, Vol.77, p.71-82

2017

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Exploiting Passive RFID Technology for Activity Recognition in Smart Homes

IEEE intelligent systems, 2015-07, Vol.30 (4), p.7-15

2015

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Denoising UWB Radar Data for Human Activity Recognition Using Convolutional Autoencoders

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Modeling the behavior of persons with mild cognitive impairment or Alzheimer’s for intelligent environment simulation

User modeling and user-adapted interaction, 2020-11, Vol.30 (5), p.895-947

2020

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A New Device to Track and Identify people in a Multi-Residents Context

Procedia computer science, 2020, Vol.170, p.403-410

2020

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An incremental learning method based on formal concept analysis for pattern recognition in nonstationary sensor-based smart environments

Pervasive and mobile computing, 2019-10, Vol.59, p.101045, Article 101045

2019

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Contrastive Self-Supervised Learning for Sensor-Based Human Activity Recognition: A Review

IEEE access, 2024, Vol.12, p.152511-152531

2024

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The Light Node Communication Framework: A New Way to Communicate Inside Smart Homes

Sensors (Basel, Switzerland), 2017-10, Vol.17 (10), p.2397

2017

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A More Efficient Transportable and Scalable System for Real-Time Activities and Exercises Recognition

Sensors (Basel, Switzerland), 2018-01, Vol.18 (1), p.268

2018

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Serious games for people with mental disorders: State of the art of practices to maintain engagement and accessibility

Entertainment computing, 2021-03, Vol.37, p.100396, Article 100396

2021

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An open vibration and pressure platform for fall prevention with a reinforcement learning agent

Personal and ubiquitous computing, 2021-02, Vol.25 (1), p.7-19

2021

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Activity inference engine for real-time cognitive assistance in smart environments

Journal of ambient intelligence and humanized computing, 2018-06, Vol.9 (3), p.679-698

2018

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Fall Detection With UWB Radars and CNN-LSTM Architecture

Extraction of sequential patterns from the web for human activity recognition

Recognizing multi-resident activities in non-intrusive sensor-based smart homes by formal concept analysis

Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention

Activity Recognition in Smart Homes using UWB Radars

Predicting levels of prolonged grief disorder symptoms during the COVID-19 pandemic: An integrated approach of classical data exploration, predictive machine learning, and explainable AI

User action and facial expression recognition for error detection system in an ambient assisted environment

Object recognition in performed basic daily activities with a handcrafted data glove prototype

The Virtual Environment for Rapid Prototyping of the Intelligent Environment

LE2ML: a microservices-based machine learning workbench as part of an agnostic, reliable and scalable architecture for smart homes

Web-based objects detection to discover key objects in human activities

Tracking objects within a smart home

Investigating anxiety levels in the Quebec university community during the COVID-19 pandemic using machine learning and data exploration techniques

A novel Bluetooth low energy based system for spatial exploration in smart cities

Exploiting Passive RFID Technology for Activity Recognition in Smart Homes

Denoising UWB Radar Data for Human Activity Recognition Using Convolutional Autoencoders

Modeling the behavior of persons with mild cognitive impairment or Alzheimer’s for intelligent environment simulation

A New Device to Track and Identify people in a Multi-Residents Context

An incremental learning method based on formal concept analysis for pattern recognition in nonstationary sensor-based smart environments

Contrastive Self-Supervised Learning for Sensor-Based Human Activity Recognition: A Review

The Light Node Communication Framework: A New Way to Communicate Inside Smart Homes

A More Efficient Transportable and Scalable System for Real-Time Activities and Exercises Recognition

Serious games for people with mental disorders: State of the art of practices to maintain engagement and accessibility

An open vibration and pressure platform for fall prevention with a reinforcement learning agent

Activity inference engine for real-time cognitive assistance in smart environments

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