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Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving.

, , , , , , , and . CHI, page 322:1-322:32. ACM, (2023)

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Hardware-secured and transparent multi-stakeholder data exchange for industrial IoT., , , and . INDIN, page 706-713. IEEE, (2016)Gated Domain Units for Multi-source Domain Generalization., , , , , , , , , and . Trans. Mach. Learn. Res., (2023)Sichere Vernetzung von Geräten in Smart Factories mit MQTT., , and . MuC (Workshopband), page 217-224. De Gruyter Oldenbourg, (2015)Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving., , , , , , , and . CHI, page 322:1-322:32. ACM, (2023)Enabling smart maintenance services: Broker-based equipment status data acquisition and backend workflows., , and . INDIN, page 699-705. IEEE, (2016)Driver state prediction from vehicle signals: An evaluation of segmentation approaches., , , , , , and . ITSC, page 1106-1113. IEEE, (2022)Improving heart rate variability measurements from consumer smartwatches with machine learning., , , , , , , and . UbiComp/ISWC Adjunct, page 934-938. ACM, (2019)Securing smart maintenance services: Hardware-security and TLS for MQTT., , , , , , , , and . INDIN, page 1243-1250. IEEE, (2015)Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition., , , , , , and . IEEE Internet Things J., 9 (14): 11699-11711 (2022)Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes., , , , , , , , , and 1 other author(s). CHI Extended Abstracts, page 1-8. ACM, (2020)