wearable sensor

Efficient Deep Clustering of Human Activities and How to Improve Evaluation ACML 2022 GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization NeurIPS 2022 Latent Temporal Flows for Multivariate Analysis of Wearables Data MLHC 2022 PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation NeurIPS 2022 Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition Interspeech 2022 Creating Interpretable Data-Driven Approaches for Remote Health Monitoring AAAI 2021 EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic Trackers ICCV 2021 Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks MLHC 2020 Instance-Wise Dynamic Sensor Selection for Human Activity Recognition AAAI 2020 Towards data-driven stroke rehabilitation via wearable sensors and deep learning MLHC 2020 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019 A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition IJCAI 2019 Daytime Sleepiness Level Prediction Using Respiratory Information IJCAI 2019 LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition AAAI 2019 Mindful Active Learning IJCAI 2019 Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018 Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams ICML 2016 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007