A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

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Encoding Human Activity Recognition: Local Coordinate Coding on Multimodal Sensory Data

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VR Child Care Simulation Teaching Based on Improved EfficientDet and 3DCNN BiLSTM

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Motion Capture and Recognition Based on Hybrid Deep Learning Model for Sports-Assisted Training

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Human activity recognition using a multi-branched CNN-BiLSTM-BiGRU model

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Hybrid CNN and Stack BiLSTM with an Attention Mechanism for Improved Human Activity Recognition Using Wearable Sensors

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Hybrid CNN-LSTM Model for Accurate Human Activity Recognition Using Wearable Sensor Data

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