Ligeng Dong

Papers

Total Citations

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About

Ligeng Dong is a researcher whose work lies at the intersection of computer vision and human-computer interaction, with a particular focus on understanding non-verbal communication. His key research area involves the recognition and analysis of head gestures—such as nodding and shaking—in natural, unconstrained human conversations. Dong’s major contribution is addressing a critical limitation in earlier gesture recognition systems, which were largely confined to controlled settings like human-robot interaction, where face poses remain near-frontal and motions are unnatural. By developing methods capable of recognizing multi-pose head gestures in real-world, dynamic environments, he advanced the field’s ability to interpret subtle, context-rich social cues. His foundational paper, “Recognition of Multi-Pose Head Gestures in Human Conversations” (2007), has garnered 13 citations, serving as a reference point for subsequent work in affective computing and social signal processing. This research has implications for building more intuitive interfaces, enhancing virtual reality experiences, and improving assistive technologies. Dong’s work stands out for its focus on ecological validity, pushing gesture recognition beyond the lab and into the complexity of everyday human interaction.