Jinglan Tian
Papers
2
Total Citations
14
H-Index
2
About
Jinglan Tian is a leading researcher in human-robot interaction, with a specific focus on developing intelligent systems for elderly care. Her work centers on the intersection of multimodal emotion recognition and intention understanding, aiming to create more responsive and empathetic assistive robots. Tian’s most impactful contribution is her pioneering work on a real-time multimodal emotion recognition system for elderly accompanying robots, which has garnered 12 citations. This research addresses a critical societal need, as China faces a rapidly aging population, by enabling robots to interpret and respond to human emotional states through a fusion of visual and auditory cues. She further advanced this field with her intention understanding algorithm (KDI), which combines neural networks with a semi-naive Bayesian classifier to infer user actions from gesture and object detection data. Tian’s innovative use of CNN and YOLOV3 for multimodal information fusion demonstrates her commitment to practical, real-world applications. Her research not only pushes the boundaries of affective computing but also promises to enhance the quality of life for the elderly, making her a notable figure in the development of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 2