lightbulbPractical problem自监督学习与域泛化的活动识别方法
用户的身体差异导致活动识别模型难以准确预测或满足个性化需求。UbiComp '23Personalized Federated Human Activity Recognition through Semi-supervised Learning and Enhanced Representation
传感、识别与安全 / 自监督学习与域泛化的活动识别方法
用户的身体差异导致活动识别模型难以准确预测或满足个性化需求。
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lightbulbPractical problem自监督学习与域泛化的活动识别方法
用户设备因节能模式或硬件限制，传感器数据丢失导致活动识别失准。UbiComp '24Summary of SHL Challenge 2024: Motion Sensor-based Locomotion and Transportation Mode Recognition in Missing Data Scenarios
lightbulbPractical problem自监督学习与域泛化的活动识别方法
多模态传感技术跨用户和环境时，适应性差，标签稀缺。UbiComp '24
lightbulbPractical problem自监督学习与域泛化的活动识别方法
移动设备识别用户交通方式时，受噪声和数据缺失影响大。UbiComp '24Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
lightbulbPractical problem自监督学习与域泛化的活动识别方法
通过可穿戴设备收集活动数据成本高且隐私风险大，导致数据稀缺。UbiComp '24IMUGPT 2.0: Cross-Modal Transfer Based on Natural Language for Sensor-Based Human Activity Recognition
lightbulbPractical problem自监督学习与域泛化的活动识别方法
智能手表等设备生成的大量无标签数据难以高效利用。UbiComp '24Domain Adaptation in Human Activity Recognition through Self-Training
lightbulbPractical problem自监督学习与域泛化的活动识别方法
人类活动识别需保护隐私但受数据异质性和攻击影响性能降低。UbiComp '23A Hierarchical Clustering-Based Personalized Federated Learning Framework for Robust and Fair Human Activity Recognition (FedCHAR)