
华南理工大学
未来技术学院
人本计算实验室
专注人工智能、人机交互、情感计算与普适感知等前沿领域,围绕大模型、人体运动力学、智慧医疗、无线感知、生物特征识别与物联网等场景开展交叉应用研究。
课题组依托“人体数据感知教育部工程研究中心”与“广东省数字孪生人重点实验室”,承担多项国家级和省部级科研任务,与国内外知名高校、头部企业保持长期合作,提供丰富的国际交流与访学机会。
主要研究方向包括:
【主动健康】
基于可穿戴设备、移动终端与普适计算技术,持续采集多模态生理、心理、行为与环境数据。通过AI算法构建行为识别与健康评估模型,突破健康量化、风险预测与自主管理等关键技术,赋能智慧医疗。【智能感知】
面向智能驾驶、智慧家居、智慧城市等场景,研究嵌入式设备、无线传感与IoT系统,构建情境感知的智能感知平台,实现高效的环境信息获取与处理。【人机交互】
探索物理空间中的自然交互技术与虚拟空间中的多模态交互体验。研究“无扰式”生命体征监测、可穿戴感知、脑机接口、表面肌电等技术,开展运动意图识别与情感计算,推动智能交互升级。【具身智能】
聚焦人机协作与意图理解,研究机器人对人类行为的实时感知、意图驱动的智能决策模型及多模态交互机制。推动机器人在老年照护、家务协作与工业操作等场景的应用落地。
Human-Centered Computing (HCC) Lab
School of Future Technology
South China University of Technology (SCUT)
The HCC Lab conducts interdisciplinary research in AI, human-computer interaction, ubiquitous sensing, and affective computing. We focus on applying large models to areas such as biomechanics, smart healthcare, wireless sensing, biometric recognition, and IoT.
Supported by the Ministry of Education’s Engineering Research Center for Human Data Sensing and the Guangdong Key Lab of Digital Twin Humans, we lead national and provincial research projects and collaborate closely with top universities and tech companies. International exchange and visiting opportunities are available.
Research areas include:
Proactive Health:
Continuous collection of multimodal data (physiological, psychological, behavioral, environmental) via wearables and mobile platforms. We develop AI-driven models for activity recognition, health assessment, and risk prediction.Intelligent Sensing:
Context-aware sensing systems for smart driving, homes, and cities, using embedded devices, wireless networks, and sensor fusion.Human-Computer Interaction:
Natural interaction technologies in physical and virtual spaces, including wearable sensing, brain-computer interfaces, and emotion-aware computing.Embodied Intelligence:
Enhancing human-robot collaboration through intent recognition, multimodal interaction, and real-time behavior analysis for use in elderly care, household support, and industrial applications.