Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
machine-learning
deep-neural-networks
deep-learning
time-series
activity-recognition
cnn
jitter
lstm
missing-data
sensor-fusion
human-activity-recognition
action-recognition
multimodal-deep-learning
conv-lstm
complex-event-recognition
complex-activity-recognition
misaligned-data
sampling-rates
cooking-activity-dataset
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Updated
Apr 26, 2021 - Jupyter Notebook