lightbulb现实痛点HAR模型鲁棒性、泛化与数据增强穿戴设备的IMU传感器位置微小变化会显著降低活动识别效果。UbiComp '24DNN Model Comparison for Sensor Location Robustness
lightbulb现实痛点HAR模型鲁棒性、泛化与数据增强现有方法对IMU数据特征提取效率低,导致活动识别性能受限。UbiComp '24Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition
lightbulb现实痛点HAR模型鲁棒性、泛化与数据增强智能设备中人类活动识别模型在新场景下经常失效。UbiComp '24CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
lightbulb现实痛点HAR模型鲁棒性、泛化与数据增强现有的人体活动识别技术易受环境影响且能耗较高。UbiComp '24Body-Centric Capacitance or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Review
lightbulb现实痛点HAR模型鲁棒性、泛化与数据增强现有算法难以在真实复杂环境中准确识别人类活动。UbiComp '2412th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)
lightbulb现实痛点HAR模型鲁棒性、泛化与数据增强健康监测等场景中传感器数据丢失导致活动识别效果下降。UbiComp '24Sussex-Huawei Locomotion Recognition Using Machine Learning and Deep Learning with Multi-sensor Data
lightbulb现实痛点HAR模型鲁棒性、泛化与数据增强非专家用户难以灵活定义和调试个性化活动识别规则。UbiComp '24exHAR: An Interface for Helping Non-experts Develop and Debug Knowledge-based Human Activity Recognition Systems