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

Computing, 2021-07, Vol.103 (7), p.1461-1478

2021

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An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition

The Journal of supercomputing, 2021, Vol.77 (11), p.12256-12279

2021

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

The Artificial intelligence review, 2022-02, Vol.55 (2), p.1149-1169

2022

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

The Visual computer, 2022-12, Vol.38 (12), p.4095-4109

2022

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A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors

IEEE sensors journal, 2022-12, Vol.22 (23), p.22943-22951

2022

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Stride segmentation of inertial sensor data using statistical methods for different walking activities

Robotica, 2022-08, Vol.40 (8), p.2567-2580

2022

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Wearable sensor-based pattern mining for human activity recognition: deep learning approach

Industrial robot, 2022-01, Vol.49 (1), p.21-33

2022

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Fusion of Multi-Sensor-Based Biomechanical Gait Analysis Using Vision and Wearable Sensor

IEEE sensors journal, 2021-07, Vol.21 (13), p.14213-14220

2021

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An optimized feature selection using bio-geography optimization technique for human walking activities recognition

Computing, 2021-12, Vol.103 (12), p.2893-2914

2021

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Artificial Intelligence for Societal Issues

1, 2023

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An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition

The Journal of supercomputing, 2021-11, Vol.77 (11), p.12256-12279

2021

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Deep ensemble learning approach for lower extremity activities recognition using wearable sensors

Expert systems, 2022-07, Vol.39 (6), p.n/a

2022

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Intelligent Computing and Networking: Proceedings of IC-ICN 2023

1, 2023

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An Optimized-LSTM and RGB-D Sensor based Human Gait Trajectory Generator for Bipedal Robot Walking

IEEE sensors journal, 2022-12, Vol.22 (24), p.1-1

2022

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Intelligent Computing and Networking: Proceedings of IC-ICN 2022

1, 2023

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Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach

Neural computing & applications, 2017-03, Vol.28 (3), p.565-574

2017

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Motion Signal-based Recognition of Human Activity from Video Stream Dataset Using Deep Learning Approach

Recent Advances in Computer Science and Communications, 2024, Vol.17 (3)

2024

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Inception inspired CNN-GRU hybrid network for human activity recognition

Multimedia tools and applications, 2023-02, Vol.82 (4), p.5369-5403

2023

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Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition

Expert systems, 2022-07, Vol.39 (6), p.n/a

2022

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Biometric gait identification based on a multilayer perceptron

Robotics and autonomous systems, 2015-03, Vol.65, p.65-75

2015

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

IEEE sensors journal, 2016-07, Vol.16 (14), p.5805-5816

2016

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Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19-20, 2023, Proceedings, Part I

1, 2023

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Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19-20, 2023, Proceedings, Part II

1, 2023

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Development of the LSTM Model and Universal Polynomial Equation for All the Sub-Phases of Human Gait

IEEE sensors journal, 2023-07, Vol.23 (14), p.15892-15900

2023

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An optimized deep learning model for human activity recognition using inertial measurement units

Expert systems, 2023-12, Vol.40 (10)

2023

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

An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition

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

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

A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors

Stride segmentation of inertial sensor data using statistical methods for different walking activities

Wearable sensor-based pattern mining for human activity recognition: deep learning approach

Fusion of Multi-Sensor-Based Biomechanical Gait Analysis Using Vision and Wearable Sensor

An optimized feature selection using bio-geography optimization technique for human walking activities recognition

Artificial Intelligence for Societal Issues

An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition

Deep ensemble learning approach for lower extremity activities recognition using wearable sensors

Intelligent Computing and Networking: Proceedings of IC-ICN 2023

An Optimized-LSTM and RGB-D Sensor based Human Gait Trajectory Generator for Bipedal Robot Walking

Intelligent Computing and Networking: Proceedings of IC-ICN 2022

Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach

Motion Signal-based Recognition of Human Activity from Video Stream Dataset Using Deep Learning Approach

Inception inspired CNN-GRU hybrid network for human activity recognition

Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition

Biometric gait identification based on a multilayer perceptron

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

Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19-20, 2023, Proceedings, Part I

Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19-20, 2023, Proceedings, Part II

Development of the LSTM Model and Universal Polynomial Equation for All the Sub-Phases of Human Gait

An optimized deep learning model for human activity recognition using inertial measurement units

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