lightbulbPractical problem手势姿态感知模型性能与准确性用户使用可穿戴或智能设备时,运动模式识别的准确性和稳定性不足。UbiComp '23Enhancing Locomotion Recognition with Specialized Features and Map Information via XGBoost
lightbulbPractical problem手势姿态感知模型性能与准确性参与者行为或系统问题导致移动传感器数据丢失,影响数据质量。CHI '25DataSentry: Building Missing Data Management System for In-the-Wild Mobile Sensor Data Collection through Multi-Year Iterative Design Approach
lightbulbPractical problem手势姿态感知模型性能与准确性可穿戴设备跨用户、设备或佩戴位置时性能不稳定,且传感数据标注成本高。UbiComp '24ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing
lightbulbPractical problem手势姿态感知模型性能与准确性传感器模态数据丢失会降低运动模式识别的准确率。UbiComp '24A Hybrid Algorithmic Pipeline for Robust Recognition of Human Locomotion: Addressing Missing Sensor Modalities
lightbulbPractical problem手势姿态感知模型性能与准确性水下可见光通信(UVLC)易遭遇窃听风险,传统密钥生成方法不够安全。UbiComp '24AquaKey: Exploiting the Randomness of the Underwater Visible Light Communication Channel for Key Extraction
lightbulbPractical problem手势姿态感知模型性能与准确性睡眠监测中传感器受背景噪声干扰,床位占用检测不准确。UbiComp '24Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection
lightbulbPractical problem手势姿态感知模型性能与准确性大学生的压力影响心理健康,现有预测系统不够可靠。UbiComp '24A Reproducible Stress Prediction Pipeline with Mobile Sensor Data