Multi-input CNN-GRU based human activity recognition using wearable sensors

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Stacked Lstm Network for Human Activity Recognition Using Smartphone Data

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Real-Time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices

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Human Activity Recognition with Smartphone Inertial Sensors Using Bidir-LSTM Networks

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Efficient Human Activity Recognition Using a Single Wearable Sensor

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Human Gait State Prediction Using Cellular Automata and Classification Using ELM

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A Multisensor Multiclassifier Hierarchical Fusion Model Based on Entropy Weight for Human Activity Recognition Using Wearable Inertial Sensors

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Generation of Joint Trajectories Using Hybrid Automate-Based Model: A Rocking Block-Based Approach

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Multiple Task Human Gait Analysis and Identification: Ensemble Learning Approach

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DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition

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Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach

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A hierarchical abnormal human activity recognition system based on R-transform and kernel discriminant analysis for elderly health care

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Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

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Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

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Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features

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SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing

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Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor

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Deep CNN-GRU Based Human Activity Recognition with Automatic Feature Extraction Using Smartphone and Wearable Sensors

Khatun, M. A., Yousuf, M., & Moni, M. A. (2023) · International Conference on Electrical, Computer and Communication Engineering · doi:10.1109/ecce57851.2023.10101550 · Cited by 12

Single Input-Based CNN-LSTM and CNN-GRU Based HAR Using Wearable SensorsPreprint

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Single Input Single Head CNN-GRU-LSTM Architecture for Recognition of Human Activities

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Multi-sensor human activity recognition using CNN and GRU

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Deep learning based human activity recognition (HAR) using wearable sensor data

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