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Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput.

, , and . CoRR, (2016)

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Capturing Nursing Interactions from Mobile Sensor Data and In-Room Sensors., , , , and . HCI (11), volume 8014 of Lecture Notes in Computer Science, page 280-289. Springer, (2013)On-Device Deep Learning Inference for Efficient Activity Data Collection., , and . Sensors, 19 (15): 3434 (2019)Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries., , , , , , , , , and 9 other author(s). KDD, page 1681-1690. ACM, (2015)MCoMat: a new performance metric for imbalanced multi-layer activity recognition dataset., , and . UbiComp/ISWC Adjunct, page 232-237. ACM, (2020)Activity Recognition and Future Prediction in Hospitals.. MobiQuitous (Adjunct Proceedings), page 59-65. ACM, (2016)Structured Message Management for Group Interaction., and . ER Workshops, volume 1552 of Lecture Notes in Computer Science, page 396-407. Springer, (1998)Integrating Activity Recognition and Nursing Care Records: The System, Deployment, and a Verification Study., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (3): 86:1-86:24 (2019)Training human activity recognition for labels with inaccurate time stamps., , , and . UbiComp Adjunct, page 863-872. ACM, (2014)A method for tracking on-body sensor positions utilizing prior knowledge., , , and . UbiComp Adjunct, page 757-766. ACM, (2014)Summary of the Third Nurse Care Activity Recognition Challenge - Can We Do from the Field Data?, , , , , , , and . UbiComp/ISWC Adjunct, page 428-433. ACM, (2021)