Yiming Ren

Papers

Total Citations

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About

Yiming Ren is a leading researcher in biometrics and human-centric sensing, with a focus on gait recognition using LiDAR technology. Their most cited work, "Gait Recognition in Large-scale Free Environment via Single LiDAR" (2024, 6 citations), introduces a groundbreaking approach to identifying individuals by their walking patterns in unconstrained, real-world settings. This method leverages LiDAR’s depth-sensing capabilities to overcome limitations of traditional camera-based systems, enabling non-intrusive, privacy-preserving identification for applications in smart homes, healthcare, and security. Ren’s contributions are pivotal in advancing multimedia integration, where gait recognition bridges physical and digital interactions without requiring direct user engagement. Their work demonstrates significant potential for scalable, contactless biometric systems, earning recognition for addressing real-world challenges like environmental variability and large-scale deployment. As a rising voice in the field, Ren’s research continues to shape the future of human-computer interaction and ambient intelligence.