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Evaluation of the potential of multi-modal sensors for respiratory motion prediction and correlation.

, , , , , and . EMBC, page 5678-5681. IEEE, (2013)

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Detecting Respiratory Artifacts from Video Data., , , and . Bildverarbeitung für die Medizin, page 227-232. Springer, (2015)Personal thermal perception models using skin temperatures and HR/HRV features: comparison of smartwatch and professional measurement devices., , , and . UbiComp, page 96-105. ACM, (2019)Wearable-Based Affect Recognition - A Review., , , and . Sensors, 19 (19): 4079 (2019)A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes., , , , , and . MLSP, page 1-6. IEEE, (2014)Controlling motion prediction errors in radiotherapy with relevance vector machines., , and . Int. J. Comput. Assist. Radiol. Surg., 10 (4): 363-371 (2015)Prediction of electrocardiography features points using seismocardiography data: a machine learning approach., , , , , , and . UbiComp, page 96-99. ACM, (2018)Multi-target affect detection in the wild: an exploratory study., , , , and . UbiComp, page 211-219. ACM, (2019)Wearable affect and stress recognition: A review., , , and . CoRR, (2018)Respiratory Motion Compensation with Relevance Vector Machines., , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 108-115. Springer, (2013)Tissue thickness estimation for high precision head-tracking using a galvanometric laser scanner - A case study., , , , , , and . EMBC, page 3106-3109. IEEE, (2014)