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POIDEN: position and orientation independent deep ensemble network for the classification of locomotion and transportation modes.

, , , , and . UbiComp/ISWC Adjunct, page 674-679. ACM, (2019)

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Position independent activity recognition using shallow neural architecture and empirical modeling., , , , , and . UbiComp/ISWC Adjunct, page 808-813. ACM, (2019)Feature-based Method for Nurse Care Complex Activity Recognition from Accelerometer Sensor., , and . UbiComp/ISWC Adjunct, page 446-451. ACM, (2021)Activity Recognition by Using LoRaWAN Sensor., , , and . UbiComp/ISWC Adjunct, page 58-61. ACM, (2018)HID 2022: The 3rd International Competition on Human Identification at a Distance., , , , , , and . IJCB, page 1-9. IEEE, (2022)Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features., , , , and . ABC, volume 291 of Smart Innovation, Systems and Technologies, page 193-205. Springer, (2021)Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection., , , , and . ABC, page 1-8. IEEE, (2024)Template-based human motion recognition for complex activities., , , , and . SMC, page 673-678. IEEE, (2008)Spatio-temporal silhouette sequence reconstruction for gait recognition against occlusion., , , , and . IPSJ Trans. Comput. Vis. Appl., (2019)Supervised and Neural Classifiers for Locomotion Analysis., , , , , and . UbiComp/ISWC Adjunct, page 1563-1570. ACM, (2018)A Comparative Approach to Classification of Locomotion and Transportation Modes Using Smartphone Sensor Data., , , and . UbiComp/ISWC Adjunct, page 1497-1502. ACM, (2018)