Bruno Bouchard

Papers

Total Citations

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About

Bruno Bouchard is a leading researcher in ambient assisted living (AAL) and human-computer interaction, with a focus on developing intelligent systems to support individuals with cognitive impairments such as Alzheimer’s disease. His work centers on recognizing and interpreting human actions and emotions to enhance safety and autonomy in smart environments. Bouchard’s most cited paper, “User action and facial expression recognition for error detection system in an ambient assisted environment” (2018, 56 citations), introduces a novel framework that combines action and facial expression analysis to detect errors during daily tasks, offering a proactive approach to care. He has also pioneered the use of data glove technology for basic daily activity recognition, as seen in his 2021 and 2019 papers (20 and 19 citations, respectively), which address the dysfunctionality of hands in Alzheimer’s patients. By leveraging wearable sensors, Bouchard’s work enables precise monitoring of hand movements, facilitating early intervention and improved quality of life. His contributions have significant implications for assistive technology, bridging the gap between computational models and real-world healthcare applications. With a growing citation impact, Bouchard continues to advance the field of ambient intelligence.