Liqing Cui

Institute of Psychology, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Liqing Cui is a researcher whose work sits at the compelling intersection of affective computing, human motion analysis, and machine learning. Their research focuses primarily on emotion recognition through gait analysis — the groundbreaking challenge of automatically inferring a person's affective state from the way they walk, without requiring any invasive sensors or direct interaction. Cui's most notable contributions include pioneering methodologies for identifying and detecting emotions from natural walking patterns, addressing applications spanning healthcare, psychological assessment, human-computer interaction, and human-robot interaction. Their 2016 paper on emotion detection from natural walking has garnered 20 citations, reflecting growing community interest in passive, non-intrusive affective sensing. Their earlier 2015 work laid conceptual groundwork for the field, establishing gait as a meaningful and viable channel for emotional inference. What makes Cui's research particularly significant is its real-world applicability — gait-based emotion recognition requires no specialized equipment or subject cooperation, making it scalable for clinical and interactive environments. For students exploring affective computing or behavioural biometrics, Cui's body of work represents an important entry point into understanding how subtle physical movement patterns can reveal rich psychological information.