Eliane Bodanese

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About

Eliane Bodanese is a leading researcher in pervasive computing and sensor-based human activity recognition, with a particular focus on device-free sensing technologies that eliminate the need for wearable or on-body sensors. Her work addresses critical challenges in ambient intelligence, enabling systems to infer human behavior through environmental signals alone. One of her most cited contributions, a 2018 study on “Device-Free, Activity During Daily Life, Recognition Using a Low-Cost Lidar,” demonstrates how off-body Lidar can accurately recognize location-driven activities of daily living (ADL) without requiring a mobile host—a breakthrough for scenarios where wearable devices fail or lack power. This research has garnered 13 citations, reflecting its influence in advancing non-intrusive, privacy-respecting sensing paradigms. Bodanese’s work is foundational for smart homes, healthcare monitoring, and assistive technologies, where robust, maintenance-free activity recognition is essential. Her innovative approach to leveraging low-cost hardware for high-impact applications underscores her commitment to accessible, real-world solutions in ubiquitous computing.