Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
machine-learningdeep-neural-networksdeep-learningtime-seriesactivity-recognitioncnnjitterlstmmissing-datasensor-fusionhuman-activity-recognitionaction-recognitionmultimodal-deep-learningconv-lstmcomplex-event-recognitioncomplex-activity-recognitionmisaligned-datasampling-ratescooking-activity-dataset
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Apr 26, 2021 - Jupyter Notebook