Vijay Bhaskar Semwal

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代表论文

1. 1
   Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor

   182 次引用 · 2021
2. 2
   Inception inspired CNN-GRU hybrid network for human activity recognition

   146 次引用 · 2022
3. 3
   Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach

   132 次引用 · 2015
4. 4
   A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors

   105 次引用 · 2022
5. 5
   Deep ensemble learning approach for lower extremity activities recognition using wearable sensors

   94 次引用 · 2021
6. 6
   Clinical Human Gait Classification: Extreme Learning Machine Approach

   93 次引用 · 2019
7. 7
   Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery

   64 次引用 · 2014
8. 8
   Generation of Joint Trajectories Using Hybrid Automate-Based Model: A Rocking Block-Based Approach

   63 次引用 · 2016
9. 9
   Design of Vector Field for Different Subphases of Gait and Regeneration of Gait Pattern

   63 次引用 · 2016
10. 10
    Gait reference trajectory generation at different walking speeds using LSTM and CNN

    63 次引用 · 2023

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