Rinki Gupta

According to our database, Rinki Gupta authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Nocturnal sleep sounds classification with artificial neural network for sleep monitoring.

Chandrasen Pandey, Neeraj Baghel, Rinki Gupta, Malay Kishore Dutta

Multim. Tools Appl., February, 2024

Few-shot transfer learning for wearable IMU-based human activity recognition.

Ganesha H. S, Rinki Gupta, Sindhu Hak Gupta, Sreeraman Rajan

Neural Comput. Appl., 2024

Hybrid deep learning model for wearable sensor-based stress recognition for Internet of Medical Things (IoMT) system.

Ghanapriya Singh, Orchid Chetia Phukan, Rinki Gupta, Anand Nayyar

Int. J. Commun. Syst., 2024

A TinyML solution for an IoT-based communication device for hearing impaired.

Sneha Sharma, Rinki Gupta, Arun Kumar

Expert Syst. Appl., 2024

Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup.

Deepali Singh, Rinki Gupta, Arun Kumar, Rajendar Bahl

Eng. Appl. Artif. Intell., 2024

Attention based Convolutional Neural Network for Active Noise Control.

Deepali Singh, Rinki Gupta, Arun Kumar, Rajendar Bahl

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.

Sneha Sharma, Rinki Gupta, A. Kumar

J. Ambient Intell. Humaniz. Comput., March, 2023

Deep Learning Ensemble for Recognising Lower Limb Activity.

Ganesha H. S, Rinki Gupta, Sindhu Hak Gupta, Sreeraman Rajan

Proceedings of the IEEE Sensors Applications Symposium, 2023

2022

Trbaggboost: an ensemble-based transfer learning method applied to Indian Sign Language recognition.

Sneha Sharma, Rinki Gupta, Arun Kumar

J. Ambient Intell. Humaniz. Comput., 2022

2021

Indian sign language recognition using wearable sensors and multi-label classification.

Rinki Gupta, Arun Kumar

Comput. Electr. Eng., 2021

2020

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

Karush Suri, Rinki Gupta

CoRR, 2020

Dual Stage Classification of Hand Gestures using Surface Electromyogram.

Karush Suri, Rinki Gupta

CoRR, 2020

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

Karush Suri, Rinki Gupta

CoRR, 2020

Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model.

Rinki Gupta, Karush Suri

CoRR, 2020

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

Karush Suri, Rinki Gupta

CoRR, 2020

2019

Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory.

Karush Suri, Rinki Gupta

Comput. Electr. Eng., 2019

On the Selection of Number of Sensors for a Wearable Sign Language Recognition System.

Rinki Gupta

Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2014

Estimation of instantaneous frequencies using iterative empirical mode decomposition.

Rinki Gupta, Arun Kumar, Rajendar Bahl

Signal Image Video Process., 2014