Shaosong Dou

Papers

Total Citations

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About

Shaosong Dou is a researcher at the forefront of human-robot interaction, with a focused mission to develop assistive technologies for the elderly. His work centers on multimodal emotion recognition, intention understanding, and human-robot collaboration systems designed to bridge the gap between aging populations and intelligent robotic care. Dou’s key contributions include a real-time multimodal emotion recognition system for elderly accompanying robots, which integrates visual and auditory cues to detect emotional states, and the HRCS_EE system, a collaborative framework enabling robots to assist seniors in daily tasks. He also proposed the KDI algorithm, which fuses neural networks with seminaive Bayesian classifiers to infer user intentions from gestures and object detection. While his most-cited paper has garnered 12 citations, the practical significance of his research is underscored by its direct application to one of the most pressing demographic challenges of our time: supporting an aging society. Dou’s work represents a vital step toward empathetic, context-aware robotic companions that can understand and respond to human needs, making him a notable contributor to the field of socially assistive robotics.