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IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.

, , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (3): 87:1-87:29 (2020)

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IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition., , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (3): 87:1-87:29 (2020)Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables., , and . Sensors, 21 (24): 8337 (2021)Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology., , , , , , , , , and 3 other author(s). Sensors, 23 (23): 9517 (December 2023)Leveraging WiFi network logs to infer student collocation and its relationship with academic performance., , , , , , , , , and 3 other author(s). EPJ Data Sci., 12 (1): 22 (December 2023)Deriving Sensor-based Complex Human Activity Recognition Models Using Videos.. Georgia Institute of Technology, Atlanta, GA, USA, (2022)base-search.net (ftgeorgiatech:oai:repository.gatech.edu:1853/66388).Handling annotation uncertainty in human activity recognition., , and . UbiComp, page 109-117. ACM, (2019)FingerSpeller: Camera-Free Text Entry Using Smart Rings for American Sign Language Fingerspelling Recognition., , , , , , , , and . ASSETS, page 86:1-86:5. ACM, (2023)Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data., , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (3): 111:1-111:32 (2021)On the Benefit of Generative Foundation Models for Human Activity Recognition., , and . CoRR, (2023)Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023., , , , , , , , , and 8 other author(s). CinC, page 1-4. IEEE, (2023)