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Exploration of Person-Independent BCIs for Internal and External Attention-Detection in Augmented Reality.

, and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (2): 80:1-80:27 (2021)

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Real-Time Multimodal Classification of Internal and External Attention., , , , and . ICMI (Adjunct), page 14:1-14:7. ACM, (2019)Using Brain Activity Patterns to Differentiate Real and Virtual Attended Targets during Augmented Reality Scenarios., , and . Inf., 12 (6): 226 (2021)SSVEP-Aided Recognition of Internally and Externally Directed Attention from Brain Activity., , , and . SMC, page 2672-2677. IEEE, (2021)Model-based Prediction of Exogeneous and Endogeneous Attention Shifts During an Everyday Activity., , , and . ICMI Companion, page 417-425. ACM, (2020)Machine Learning from Mistakes: Self-Improving Attention Classifier Using Error-Related Potentials., , and . SMC, page 4770-4777. IEEE, (2023)Combining Implicit and Explicit Feature Extraction for Eye Tracking: Attention Classification Using a Heterogeneous Input., and . Sensors, 21 (24): 8205 (2021)Differentiating Endogenous and Exogenous Attention Shifts Based on Fixation-Related Potentials., , and . IUI, page 243-257. ACM, (2022)Augmented Reality Interface for Smart Home Control using SSVEP-BCI and Eye Gaze., , , and . SMC, page 2812-2817. IEEE, (2019)Attention-aware interaction systems for augmented reality. Bremen University, Germany, (2022)base-search.net (ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/5993).Attention-driven Interaction Systems for Augmented Reality.. ICMI, page 482-486. ACM, (2019)