P. Martin-Martin

Papers

Total Citations

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About

P. Martin-Martin is a leading researcher in assistive robotics and intelligent video surveillance, with a primary focus on fall detection systems for elderly and disabled populations. Their most impactful contribution is the development of low-cost, autonomous mobile robots equipped with RGB camera-based fallen person detection modules, which integrate facial recognition to enable rapid emergency response. This work addresses a critical healthcare challenge: reducing response time after falls, which is essential for survival. Their 2019 paper on "Fallen People Detection Capabilities Using Assistive Robot" has garnered 61 citations, establishing a foundational approach in the field. Building on this, their 2022 work on embedding detection systems in mobile platforms (35 citations) demonstrates practical, deployable solutions. Martin-Martin has also advanced video understanding through unsupervised action proposal methods using support vector classifiers, enabling efficient temporal localization of actions in untrimmed videos. This dual expertise—combining assistive robotics with intelligent video processing—positions them as a key innovator in creating autonomous systems that enhance safety and monitoring for vulnerable populations.