情绪理解与干预技术
Emotion Understanding and Intervention Technique
我们聚焦于智能情绪技术的研发，旨在实现对人类情绪状态的感知、解释与响应。We focus on developing intelligent techniques to sense, interpret, and respond to human emotional states.
多模态可穿戴设备用于人类活动与意图识别
Multimodal Wearables for Human Activity and Intent Understanding
我们探索融合来自可穿戴设备的多模态输入数据——包括运动、生理和语义信息，以识别复杂的人体活动并理解用户意图。We explore the fusion of multimodal inputs—including motion, physiological, and semantic data—from wearable devices to recognize complex human activities and understand user intent.
人与机器人交互
Human-Robot Interaction
我们研究人与机器人之间直观且自适应的交互范式，重点关注自然沟通、健康监测以及在动态环境中的协同操作。We investigate intuitive and adaptive interaction paradigms between humans and robots, with a focus on natural communication, health monitoring, and physical collaboration in dynamic environments.
大语言模型与健康
LLM and Health
我们探索如何利用大语言模型赋能个性化健康应用。We explore how large language models can be leveraged to support personalized health applications.
多模态行为信号在阿尔茨海默病早筛与智慧医疗中的应用
Multimodal Behavioral Signals for Early Alzheimer’s Screening and Smart Healthcare
我们致力于开发智能且非侵入式的系统，利用自然的人体行为实现对阿尔茨海默病的早期识别。研究聚焦于将多模态行为信号融合为日常可用、低成本、用户友好的模型，旨在推动主动、便捷的认知筛查，并构建面向长期神经健康监测与智慧医疗服务的一体化平台。We develop intelligent, non-invasive systems that leverage natural human behaviors to enable early detection of Alzheimer’s disease. Our work focuses on fusing multimodal behavioral signals into user-friendly, low-cost models suitable for daily use. The goal is to support proactive, accessible cognitive screening and build integrated platforms for long-term neurological health monitoring and smart healthcare delivery.
复杂系统控制与故障检测
我们研究人工智能与先进控制策略在复杂系统中的融合，聚焦于工业场景下复杂系统的优化与稳定运行。同时，我们的研究还深入探讨了电气系统的故障诊断与性能建模，利用人工智能算法提升诊断的准确性与效率。We study the integration of artificial intelligence and advanced control strategies in complex systems, focusing on the optimization and stable operation of complex systems in industrial scenarios. Our research also delves into fault diagnosis and performance modeling of electrical systems, using artificial intelligence algorithms to improve the accuracy and efficiency of diagnosis.
