Linmi Tao

Papers

Total Citations

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About

Linmi Tao is a leading researcher in computer vision, human-computer interaction, and intelligent systems, with a focus on understanding and augmenting human behavior through technology. His work bridges the gap between machine perception and natural human communication, particularly in gesture recognition and brain-computer interfaces. In his influential 2007 paper on multi-pose head gesture recognition, Tao tackled the challenge of identifying nodding and shaking gestures in natural human conversations, moving beyond the constrained settings of human-robot interaction to enable more fluid and realistic social signal processing. This foundational work, cited 13 times, has implications for affective computing and social robotics. Tao also explores cutting-edge assistive technologies, as demonstrated in his 2013 study on a vehicle navigation system combining brain-computer interfaces with dual laser radar. By addressing the low signal-to-noise ratio and latency issues of BCI, he proposed a practical framework for outdoor mobile robot control, earning 5 citations. Through these contributions, Tao advances the integration of human cognitive and gestural signals into autonomous systems, laying groundwork for more intuitive and responsive machines.