helpResearch question手势姿态感知模型性能与准确性ConvTransformer网络是否能同时捕捉运动模式短期和长期依赖特征?UbiComp '21An Ensemble of ConvTransformer Networks for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge
helpResearch question手势姿态感知模型性能与准确性移动传感器数据中,如何高效诊断和处理内外部因素导致的数据丢失问题?CHI '25DataSentry: Building Missing Data Management System for In-the-Wild Mobile Sensor Data Collection through Multi-Year Iterative Design Approach
helpResearch question手势姿态感知模型性能与准确性基于参与者内外变异性,如何优化数据丢失的检测与诊断?CHI '25DataSentry: Building Missing Data Management System for In-the-Wild Mobile Sensor Data Collection through Multi-Year Iterative Design Approach
helpResearch question手势姿态感知模型性能与准确性综合视图和交互式可视化对研究人员管理传感器数据丢失是否更有效?CHI '25DataSentry: Building Missing Data Management System for In-the-Wild Mobile Sensor Data Collection through Multi-Year Iterative Design Approach
helpResearch question手势姿态感知模型性能与准确性如何在无需访问目标域数据的情况下,提高可穿戴传感器模型的跨域泛化性能?UbiComp '24ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing
helpResearch question手势姿态感知模型性能与准确性对具有稀疏标签和域迁移的实际场景,如何有效结合对比学习和域泛化技术?UbiComp '24ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing
helpResearch question手势姿态感知模型性能与准确性能否通过优化负样本选择和参数调整机制,增强模型在高维复杂数据下的鲁棒性?UbiComp '24ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing