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Bruno Bouchard

Full Professor

Université du Québec à Chicoutimi

Canada

Research Interests

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Bruno Bouchard is a Full Professor at the University of Quebec at Chicoutimi, Canada. His research areas include activity recognition in smart homes, human-computer interaction, and the development of assistive technologies, as evidenced by his recent articles on fine-grained activity recognition and smart cooking devices for cognitively impaired users. He also explores the intersection of serious games and mental health, alongside methodologies for automating evaluation in complex systems.

Articles (17)

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2026

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2020

Collaborators (5)

Yannick Francillette

Professor

Université du Québec à Chicoutimi

CANADA

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Kévin Bouchard

Université du Québec à Chicoutimi

CANADA

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Sébastien Gaboury

Université du Québec à Chicoutimi

CANADA

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Bob-Antoine Menelas

Université du Québec à Chicoutimi

CANADA

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Pascal E. Fortin

Professeur

Université du Québec à Chicoutimi

CANADA

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Bruno Bouchard

Research Interests

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Articles (17)

Breaking down the challenge: A comprehensive framework for evaluating enemy difficulty with automated behavior tree analytics

FoCLAP-Net: Toward an Interpretable Model for Body Posture Recognition via Multimodal Temporal Data From Wearable Sensors

Automated Generation and Refinement of Agile User Stories from Game Design Documents Using Large Language Models

Interpretable Multisensor-Based Hand Gesture Detection for Fine-Grained Activity Recognition

A Comprehensive Model of Automated Evaluation of Difficulty in Platformer Games

Comparative analysis of two methods in fine-grained activity recognition for ambient assisted living

Robotic Companions for Assisted Living and to Age Well

Towards Agile and Transparent Data Management: New Generative AI-Driven Tools for Data Governance

Enhancing Photoplethysmography-Based Fine-Grained Hand Gesture Detection for Assistive Technologies Supporting Autonomy

Enhancing Agile Project Management for Remote Teams: A Graph Theory-Based Approach

Hand Gestures Identification for Fine-Grained Human Activity Recognition in Smart Homes

A distributable event-oriented architecture for activity recognition in smart homes

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

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

Modeling, learning, and simulating human activities of daily living with behavior trees

A smart cooking device for assisting cognitively impaired users

Towards Using Scientific Publications to Automatically Extract Information on Rare Diseases

Collaborators (5)

Yannick Francillette

Kévin Bouchard

Sébastien Gaboury

Bob-Antoine Menelas

Pascal E. Fortin

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