Carolina Bottari

Université de Montréal

Papers

2

Total Citations

14

H-Index

2

About

Carolina Bottari is a researcher whose work sits at the intersection of assistive technology, aging, and smart home systems, with a particular focus on improving the safety and independence of older adults. Her most recognized contributions center on the development and evaluation of intelligent fall prevention and detection systems that leverage monocular cameras, ambient sensors, and interactive social robots within smart home environments. By integrating computer vision with responsive robotic interfaces, Bottari's research addresses one of the most pressing challenges in aging populations — the physical and psychological burden of falls and fall-related fear, which significantly compromise quality of life and personal autonomy. Her 2021 paper on fall prevention using monocular cameras and social robots has garnered 12 citations, establishing it as a foundational contribution to the field, while her 2022 follow-up work expanded this framework to incorporate ambient sensing for a more comprehensive risk-management approach. Bottari's research is particularly notable for its human-centered lens, considering not only technical detection accuracy but also the broader social and health implications of fall risk, including conditions such as self-neglect syndrome. Her work offers meaningful pathways toward enabling older adults to live safely and independently in their own homes.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Fall Prevention and Detection in Smart Homes Using Monocular Cameras and an Interactive Social Robot
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Université de Montréal

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago