Y. M. Ozsecen

Papers

Total Citations

H-Index

About

Y. M. Ozsecen is a researcher whose work lies at the intersection of sensor networks, home robotics, and health monitoring, with a particular focus on improving safety and quality of life for aging populations. Their most cited paper, "Development of a platform to combine sensor networks and home robots to improve fall detection in the home environment" (2011, 15 citations), represents a pioneering effort to integrate wearable sensors with autonomous robotic systems for real-time fall detection. This work addresses a critical challenge in continuous health monitoring—reducing false alarms while ensuring rapid emergency response. By proposing a hybrid platform that leverages both ambient and wearable sensors alongside mobile robots, Ozsecen contributed to the evolution of smart home technologies that can proactively assist individuals, particularly the elderly, in maintaining independence. Their research highlights the potential of combining low-cost sensor networks with robotic assistance to create more reliable, context-aware healthcare solutions. While their citation count reflects a focused but impactful contribution, Ozsecen’s work remains relevant as the field moves toward integrated, AI-driven home care systems. Their approach exemplifies how interdisciplinary engineering can directly address real-world health challenges, making their research a valuable reference for students and researchers exploring assistive technologies and ambient intelligence.