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Ritika Sibal
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Journal Articles

Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation

Ritika Sibal, Ding Zhang, Julie Rocho-Levine, K. Alex Shorter, Kira Barton
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021002.
Paper No: ALDSC-19-1081
https://doi.org/10.1115/1.4046685
Published Online: April 8, 2020
View Article titled, Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor-Based Dynamic State Estimation
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Topics: Artificial neural networks, Machine learning, Probability, Sensors, State estimation, Signals, Support vector machines, Image segmentation, Testing
Proceedings Papers

Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor Based Dynamic State Estimation

Ritika Sibal, Ding Zhang, Julie Rocho-Levine, K. Alex Shorter, Kira Barton
Proc. ASME. DSCC2019, 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, V002T24A005, October 8–11, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2019-9198
https://doi.org/10.1115/DSCC2019-9198
View Paper titled, Bidirectional LSTM Recurrent Neural Network Plus Hidden Markov Model for Wearable Sensor Based Dynamic State Estimation
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