Meimei Zheng
Papers
2
Total Citations
20
H-Index
2
About
Meimei Zheng is a pioneering researcher in affective computing and human-robot interaction, with a specialized focus on developing emotionally intelligent companion robots for children. Her work centers on multimodal affective computing—the integration of verbal and nonverbal cues such as facial expressions, tone of voice, and gestures—to enable robots to perceive, interpret, and respond to human emotions in real time. Zheng’s most cited paper, “BabeBay—A Companion Robot for Children Based on Multimodal Affective Computing” (2019, 15 citations), introduces a novel robot that adapts its interactions to each child’s emotional state, enhancing engagement and therapeutic potential. Her subsequent work, “A Multimodal Affective Computing Approach for Children Companion Robots” (2019, 5 citations), details the fusion model that processes both speech and body language, advancing the field’s methodology. Together, these contributions lay the groundwork for more responsive, empathetic social robots, with implications for child development, education, and mental health support. Zheng’s research stands out for its practical application of affective computing, bridging the gap between algorithmic emotion recognition and real-world robotic companionship.
Research Focus
Key Achievements
Top Papers
- 1
- 2A multimodal affective computing approach for children companion robots5 citations · 2019