Papers
1
Total Citations
3
H-Index
1
About
Ying Cheng is a researcher at the forefront of intelligent human-computer interaction, with a primary focus on integrating computer vision into smart vehicle systems. Her most-cited work, "Research on human-vehicle gesture interaction technology based on computer vision" (2022, 3 citations), addresses a critical challenge in automotive intelligence: enabling natural, non-contact communication between drivers and vehicles. By developing gesture recognition algorithms that interpret human movements in real time, Cheng’s research bridges the gap between emerging HCI technologies and the practical demands of autonomous and semi-autonomous driving environments. Her contributions are particularly notable for their emphasis on safety and usability—allowing drivers to control infotainment, navigation, and vehicle functions without taking their hands off the wheel or eyes off the road. While her citation count is still growing, Cheng’s work is timely and foundational, reflecting the urgent need for intuitive interfaces in next-generation vehicles. Her research not only advances the field of computer vision but also directly informs the design of more responsive, human-centered automotive systems, making her a promising voice in the evolution of smart mobility.
Research Focus
Key Achievements
Top Papers
- 1