Martin Kampel
Papers
2
Total Citations
138
H-Index
2
About
Martin Kampel is a leading researcher at the intersection of computer vision, ambient assisted living (AAL), and intelligent sensor systems. His work is defined by a dual focus: advancing the hardware foundations of robotic perception and applying artificial intelligence to support independent living for aging populations. Kampel’s seminal study, “An Empirical Evaluation of Ten Depth Cameras” (81 citations), provides a critical, systematic benchmark of modern RGB-D sensors, analyzing bias, precision, and performance under varied conditions—a foundational resource for robotics and computer vision practitioners. In the domain of AAL, his scoping review “Ambient Assisted Living: Artificial Intelligence Models, Domains, Technology, and Concerns” (57 citations) offers a comprehensive synthesis of AI-driven systems that learn user behaviors to enhance health and daily living. This work maps the technological landscape and identifies key challenges, guiding future research in ethical, effective assistive technologies. Kampel’s contributions bridge rigorous sensor evaluation with human-centered AI, establishing him as a key figure in creating more perceptive, supportive environments.
Research Focus
Key Achievements
Top Papers
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