Tingshao Zhu

Institute of Computing Technology, Institute of Psychology, Chinese Academy of Sciences

Papers

Total Citations

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About

Tingshao Zhu is a researcher whose work spans the intersection of affective computing, human behavior, and emerging technologies. Best known for his pioneering investigations into emotion recognition, Zhu has made significant contributions to the field of gait-based emotion detection, exploring how an individual's natural walking patterns can reveal underlying affective states. His foundational studies, including "Identifying Emotion from Natural Walking" (2015) and "Emotion Detection from Natural Walking" (2016), laid important groundwork for automated emotion recognition systems with applications in healthcare, psychological assessment, and human-computer interaction — the latter accumulating 20 citations and demonstrating growing scholarly interest in the field. Beyond emotion recognition, Zhu has extended his research lens to examine how human behavior adapts in response to transformative global events. His 2021 work examining human interactions with emerging technologies during the COVID-19 pandemic reflects a timely and socially relevant contribution, garnering 17 citations and highlighting the unprecedented behavioral shifts prompted by the global health crisis. Collectively, Zhu's research positions him as a thoughtful contributor to understanding the complex relationships between human psychology, physical behavior, and technology — work that holds meaningful implications for the future of intelligent, emotionally aware systems.