Rinki Gupta

Orcid: 0000-0002-0060-5523

According to our database1, Rinki Gupta authored at least 14 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Nocturnal sleep sounds classification with artificial neural network for sleep monitoring.
Multim. Tools Appl., February, 2024

Attention based Convolutional Neural Network for Active Noise Control.
Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

2023
Continuous sign language recognition using isolated signs data and deep transfer learning.
J. Ambient Intell. Humaniz. Comput., March, 2023

Deep Learning Ensemble for Recognising Lower Limb Activity.
Proceedings of the IEEE Sensors Applications Symposium, 2023

2022
Trbaggboost: an ensemble-based transfer learning method applied to Indian Sign Language recognition.
J. Ambient Intell. Humaniz. Comput., 2022

2021
Indian sign language recognition using wearable sensors and multi-label classification.
Comput. Electr. Eng., 2021

2020
Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture.
CoRR, 2020

Dual Stage Classification of Hand Gestures using Surface Electromyogram.
CoRR, 2020

Classification of Hand Gestures from Wearable IMUs using Deep Neural Network.
CoRR, 2020

Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model.
CoRR, 2020

Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs.
CoRR, 2020

2019
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory.
Comput. Electr. Eng., 2019

On the Selection of Number of Sensors for a Wearable Sign Language Recognition System.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2014
Estimation of instantaneous frequencies using iterative empirical mode decomposition.
Signal Image Video Process., 2014


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