Citation
Sibal, R, Zhang, D, Rocho-Levine, J, Shorter, KA, & Barton, K. "Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor Based Dynamic State Estimation." Proceedings of the ASME 2019 Dynamic Systems and Control Conference. Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control. Park City, Utah, USA. October 8–11, 2019. V002T24A005. ASME. https://doi.org/10.1115/DSCC2019-9198
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