Vijay Bhaskar Semwal

Orcid: 0000-0003-0767-6057

According to our database1, Vijay Bhaskar Semwal authored at least 49 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Human motion activity recognition and pattern analysis using compressed deep neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., December, 2024

Deep ensemble learning approach for lower limb movement recognition from multichannel sEMG signals.
Neural Comput. Appl., May, 2024

Adaptive neural & fuzzy controller for exoskeleton gait pattern control based on musculoskeletal modeling.
Multim. Tools Appl., May, 2024

CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection.
Biomed. Signal Process. Control., 2024

2023
An optimized deep learning model for human activity recognition using inertial measurement units.
Expert Syst. J. Knowl. Eng., December, 2023

Human Activity Identification System for Video Database Using Deep Learning Technique.
SN Comput. Sci., September, 2023

Training a Multi-task Model for Classification and Grasp Detection of Surgical Tools Using Transfer Learning.
SN Comput. Sci., September, 2023

A Novel Algorithm for Optimal Trajectory Generation Using Q Learning.
SN Comput. Sci., September, 2023

Gait reference trajectory generation at different walking speeds using LSTM and CNN.
Multim. Tools Appl., September, 2023

HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation.
Neural Process. Lett., February, 2023

Inception inspired CNN-GRU hybrid network for human activity recognition.
Multim. Tools Appl., February, 2023

Dynamic Balancing of Bipedal Robot on Inclined Terrain using Polynomial Trajectories.
Proceedings of the 2023 7th International Conference on Graphics and Signal Processing, 2023

Human Action Recognition Using ConvBiLSTM-GRU In Indoor Environment.
Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2023

2022
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data.
Vis. Comput., 2022

Stride segmentation of inertial sensor data using statistical methods for different walking activities.
Robotica, 2022

Occluded Gait reconstruction in multi person Gait environment using different numerical methods.
Multim. Tools Appl., 2022

Wearable sensor-based pattern mining for human activity recognition: deep learning approach.
Ind. Robot, 2022

Deep ensemble learning approach for lower extremity activities recognition using wearable sensors.
Expert Syst. J. Knowl. Eng., 2022

Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition.
Expert Syst. J. Knowl. Eng., 2022

Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor.
Artif. Intell. Rev., 2022

2021
An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition.
J. Supercomput., 2021

Human Gait State Prediction Using Cellular Automata and Classification Using ELM.
CoRR, 2021

An optimized feature selection using bio-geography optimization technique for human walking activities recognition.
Computing, 2021

Multi-input CNN-GRU based human activity recognition using wearable sensors.
Computing, 2021

Performance Analysis of Data-Driven Techniques for Solving Inverse Kinematics Problems.
Proceedings of the Intelligent Systems and Applications, 2021

Comparative Study of Inverse Kinematics Using Data Driven And FABRIK Approach.
Proceedings of the AIR 2021: Advances in Robotics - 5th International Conference of The Robotics Society, Kanpur, India, 30 June 2021, 2021

2019
Multiobjective optimized bipedal locomotion.
Int. J. Mach. Learn. Cybern., 2019

2018
Design of Vector Field for Different Subphases of Gait and Regeneration of Gait Pattern.
IEEE Trans Autom. Sci. Eng., 2018

Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach.
Neural Comput. Appl., 2018

Hybrid Model for Passive Locomotion Control of a Biped Humanoid: The Artificial Neural Network Approach.
Int. J. Interact. Multim. Artif. Intell., 2018

2017
Erratum to: Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach.
Neural Comput. Appl., 2017

Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach.
Neural Comput. Appl., 2017

An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification.
Multim. Tools Appl., 2017

Data Driven Computational Model for Bipedal Walking and Push Recovery.
CoRR, 2017

Bilrost: Connecting the Internet of Things through human Social Networks with a Domain-Specific Language.
Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, 2017

A Conjoint Analysis of Road Accident Data using K-modes Clustering and Bayesian Networks (Road Accident Analysis using clustering and classification).
Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, 2017

Analysis of TCP streaming over VANETs.
Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, 2017

2015
Biometric gait identification based on a multilayer perceptron.
Robotics Auton. Syst., 2015

Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata.
Robotics Auton. Syst., 2015

Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery.
Robotics Auton. Syst., 2015

2014
A Fault-Tolerant Mobile Computing Model Based On Scalable Replica.
Int. J. Interact. Multim. Artif. Intell., 2014

Analysis of Gait Pattern to Recognize the Human Activities.
Int. J. Interact. Multim. Artif. Intell., 2014

Study of Humanoid Push Recovery Based on Experiments.
CoRR, 2014

Bipedal Model Based on Human Gait Pattern Parameters Bipedal Model Based on Human Gait Pattern Parameters for Sagittal Plane Movement.
CoRR, 2014

Machine learning approach for text and document mining.
CoRR, 2014

2013
Human Activity Recognition Using Gait Pattern.
Int. J. Comput. Vis. Image Process., 2013

2011
Accurate location estimation of moving object In Wireless Sensor network.
Int. J. Interact. Multim. Artif. Intell., 2011

Real time face recognition using adaboost improved fast PCA algorithm
CoRR, 2011

Accurate location estimation of moving object with energy constraint & adaptive update algorithms to save data
CoRR, 2011


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