Papers

1

Total Citations

18

H-Index

1

About

David S. Medeiros is a researcher at the forefront of wearable computing and embedded computer vision. His work focuses on the practical integration of sophisticated visual processing into compact, low-power devices, bridging the gap between theoretical algorithms and real-world wearable applications. His most notable contribution, detailed in his highly cited 2020 paper "A method for embedding a computer vision application into a wearable device," has garnered 18 citations, establishing a foundational approach for developers seeking to deploy vision-based systems on constrained hardware. This work addresses critical challenges in energy efficiency, real-time processing, and form factor optimization, enabling new possibilities in augmented reality, assistive technologies, and hands-free interaction. Medeiros's research is distinguished by its emphasis on system-level design, ensuring that computer vision models are not only accurate but also practically deployable in everyday wearable contexts. For students and researchers entering the field, his contributions offer a clear roadmap for navigating the complexities of embedded vision, making him a key figure in the ongoing evolution of intelligent, body-worn technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A method for embedding a computer vision application into a wearable device
18 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Instituto Federal de Educação, Ciência e Tecnologia do Ceará

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago