Vijay Bhaskar Semwal

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 37

Top Topics

Computationally Intensive

Human Activity Recognition

Inertial Measurement Unit

Top Venues

Multim. Tools Appl.

Neural Comput. Appl.

Publications

Navita Kumari, Amulya Yadagani, Basudeba Behera, Vijay Bhaskar Semwal, Somya Mohanty
Human motion activity recognition and pattern analysis using compressed deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12 (1) (2024)
Anjali Gupta, Vijay Bhaskar Semwal
Adaptive neural & fuzzy controller for exoskeleton gait pattern control based on musculoskeletal modeling. Multim. Tools Appl. 83 (16) (2024)
Vaibhav Soni, Himanshu Yadav, Sadhna Bijrothiya, Vijay Bhaskar Semwal
CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection. Biomed. Signal Process. Control. 96 (2024)
Pratibha Tokas, Vijay Bhaskar Semwal, Sweta Jain
Deep ensemble learning approach for lower limb movement recognition from multichannel sEMG signals. Neural Comput. Appl. 36 (13) (2024)
Ram Kumar Yadav, Subhrendu Guha Neogi, Vijay Bhaskar Semwal
Human Activity Identification System for Video Database Using Deep Learning Technique. SN Comput. Sci. 4 (5) (2023)
Vijay Bhaskar Semwal, Yogesh Kumar Prajapat, Rahul Jain
Training a Multi-task Model for Classification and Grasp Detection of Surgical Tools Using Transfer Learning. SN Comput. Sci. 4 (5) (2023)
Vijay Bhaskar Semwal, Rahul Jain, Pushkar Maheshwari, Saksham Khatwani
Gait reference trajectory generation at different walking speeds using LSTM and CNN. Multim. Tools Appl. 82 (21) (2023)
Vijay Bhaskar Semwal, Pratibha Tokas, Maske Nilesh, Nilay Khare
Dynamic Balancing of Bipedal Robot on Inclined Terrain using Polynomial Trajectories. ICGSP (2023)
Manoj Kumar Sain, Joyeeta Singha, Sandeep Saini, Vijay Bhaskar Semwal
Human Action Recognition Using ConvBiLSTM-GRU In Indoor Environment. GCAIoT (2023)
Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal, Sravan Kumar Challa
Inception inspired CNN-GRU hybrid network for human activity recognition. Multim. Tools Appl. 82 (4) (2023)
Manoj Kumar, Devendra Kumar, Vijay Bhaskar Semwal
A Novel Algorithm for Optimal Trajectory Generation Using Q Learning. SN Comput. Sci. 4 (5) (2023)
Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Tapan Kumar Mandal
HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation. Neural Process. Lett. 55 (1) (2023)
Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal, Nidhi Dua
An optimized deep learning model for human activity recognition using inertial measurement units. Expert Syst. J. Knowl. Eng. 40 (10) (2023)
Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik
Deep ensemble learning approach for lower extremity activities recognition using wearable sensors. Expert Syst. J. Knowl. Eng. 39 (6) (2022)
Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data. Vis. Comput. 38 (12) (2022)
Vijay Bhaskar Semwal, Neha Gaud, Praveen Lalwani, Vishwanath Bijalwan, Abhay Kumar Alok
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor. Artif. Intell. Rev. 55 (2) (2022)
Anjali Gupta, Vijay Bhaskar Semwal
Occluded Gait reconstruction in multi person Gait environment using different numerical methods. Multim. Tools Appl. 81 (16) (2022)
Vishwanath Bijalwan, Vijay Bhaskar Semwal, Vishal Gupta
Wearable sensor-based pattern mining for human activity recognition: deep learning approach. Ind. Robot 49 (1) (2022)
Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Rubén González Crespo
Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition. Expert Syst. J. Knowl. Eng. 39 (6) (2022)
Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik
Stride segmentation of inertial sensor data using statistical methods for different walking activities. Robotica 40 (8) (2022)
Vijay Bhaskar Semwal, Praveen Lalwani, Manas Kumar Mishra, Vishwanath Bijalwan, Jasroop Singh Chadha
An optimized feature selection using bio-geography optimization technique for human walking activities recognition. Computing 103 (12) (2021)
Vijay Bhaskar Semwal, Neha Gaud, Gora Chand Nandi
Human Gait State Prediction Using Cellular Automata and Classification Using ELM. CoRR (2021)
Vijay Bhaskar Semwal, Anjali Gupta, Praveen Lalwani
An optimized hybrid deep learning model using ensemble learning approach for human walking activities recognition. J. Supercomput. 77 (11) (2021)
Vijay Bhaskar Semwal, Meghana Reddy, Aditya Narad
Comparative Study of Inverse Kinematics Using Data Driven And FABRIK Approach. AIR (2021)
Vijay Bhaskar Semwal, Yash Gupta
Performance Analysis of Data-Driven Techniques for Solving Inverse Kinematics Problems. IntelliSys (1) (2021)
Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal
Multi-input CNN-GRU based human activity recognition using wearable sensors. Computing 103 (7) (2021)
Manish Raj, Vijay Bhaskar Semwal, Gora Chand Nandi
Multiobjective optimized bipedal locomotion. Int. J. Mach. Learn. Cybern. 10 (8) (2019)
Manish Raj, Vijay Bhaskar Semwal, Gora Chand Nandi
Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach. Neural Comput. Appl. 30 (6) (2018)
Vijay Bhaskar Semwal, Chandan Kumar, Piyush Kumar Mishra, Gora Chand Nandi
Design of Vector Field for Different Subphases of Gait and Regeneration of Gait Pattern. IEEE Trans Autom. Sci. Eng. 15 (1) (2018)
Manish Raj, Vijay Bhaskar Semwal, Gora Chand Nandi
Hybrid Model for Passive Locomotion Control of a Biped Humanoid: The Artificial Neural Network Approach. Int. J. Interact. Multim. Artif. Intell. 5 (1) (2018)
Vijay Bhaskar Semwal, Kaushik Mondal, Gora Chand Nandi
Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach. Neural Comput. Appl. 28 (3) (2017)
Vijay Bhaskar Semwal, Kaushik Mondal, Gora Chand Nandi
Erratum to: Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach. Neural Comput. Appl. 28 (7) (2017)
Vijay Bhaskar Semwal, Joyeeta Singha, Pinki Kumari, Arun Chauhan, Basudeba Behera
An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification. Multim. Tools Appl. 76 (22) (2017)
Sachin Kumar, Vijay Bhaskar Semwal, Vijender Kumar Solanki, Prayag Tiwari, Denis Kalitin
A Conjoint Analysis of Road Accident Data using K-modes Clustering and Bayesian Networks (Road Accident Analysis using clustering and classification). RICE (2017)
Daniel Meana-Llorián, Cristian González García, Jordán Pascual Espada, Manju Khari, Vijay Bhaskar Semwal
Bilrost: Connecting the Internet of Things through human Social Networks with a Domain-Specific Language. RICE (2017)
Vijay Bhaskar Semwal
Data Driven Computational Model for Bipedal Walking and Push Recovery. CoRR (2017)
John Anzola, Andrés Jiménez, Jordán Pascual Espada, Vijay Bhaskar Semwal, Vishwanath Bijalwan
Analysis of TCP streaming over VANETs. RICE (2017)
Vijay Bhaskar Semwal, Pavan Chakraborty, Gora Chand Nandi
Less computationally intensive fuzzy logic (type-1)-based controller for humanoid push recovery. Robotics Auton. Syst. 63 (2015)
Vijay Bhaskar Semwal, Manish Raj, Gora Chand Nandi
Biometric gait identification based on a multilayer perceptron. Robotics Auton. Syst. 65 (2015)
Vijay Bhaskar Semwal, Shiv A. Katiyar, Rupak Chakraborty, Gora Chand Nandi
Biologically-inspired push recovery capable bipedal locomotion modeling through hybrid automata. Robotics Auton. Syst. 70 (2015)
Vishwanath Bijalwan, Pinki Kumari, Jordán Pascual Espada, Vijay Bhaskar Semwal
Machine learning approach for text and document mining. CoRR (2014)
Vijay Bhaskar Semwal, Gora Chand Nandi
Study of Humanoid Push Recovery Based on Experiments. CoRR (2014)
Vijay Bhaskar Semwal, Shiv A. Katiyar, Pavan Chakraborty, Gora Chand Nandi
Bipedal Model Based on Human Gait Pattern Parameters Bipedal Model Based on Human Gait Pattern Parameters for Sagittal Plane Movement. CoRR (2014)
Jay Prakash Gupta, Pushkar Dixit, Vijay Bhaskar Semwal
Analysis of Gait Pattern to Recognize the Human Activities. Int. J. Interact. Multim. Artif. Intell. 2 (7) (2014)
Meenakshi Sati, Vivek Vikash, Vishwanath Bijalwan, Pinki Kumari, Manish Raj, Meenu Balodhi, Priya Gairola, Vijay Bhaskar Semwal
A Fault-Tolerant Mobile Computing Model Based On Scalable Replica. Int. J. Interact. Multim. Artif. Intell. 2 (6) (2014)
Jay Prakash Gupta, Nishant Singh, Pushkar Dixit, Vijay Bhaskar Semwal, Shiv Ram Dubey
Human Activity Recognition Using Gait Pattern. Int. J. Comput. Vis. Image Process. 3 (3) (2013)
K. Susheel Kumar, Vijay Bhaskar Semwal, Ramesh Chandra Tripathi
Real time face recognition using adaboost improved fast PCA algorithm CoRR (2011)
Vijay Bhaskar Semwal, K. Susheel Kumar, Vinay S. Bhaskar, Meenakshi Sati
Accurate location estimation of moving object with energy constraint & adaptive update algorithms to save data CoRR (2011)
Vijay Bhaskar Semwal, Vinay Bhaskar Semwal, Meenakshi Sati, Shirshu Verma
Accurate location estimation of moving object In Wireless Sensor network. Int. J. Interact. Multim. Artif. Intell. 1 (4) (2011)