Rinki Gupta

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Human Activity Recognition

Transfer Learning

Sign Language Recognition

Comparative Analysis

Top Venues

Comput. Electr. Eng.

J. Ambient Intell. Humaniz. Comput.

Publications

Sneha Sharma, Rinki Gupta, Arun Kumar
A TinyML solution for an IoT-based communication device for hearing impaired. Expert Syst. Appl. 246 (2024)
Ghanapriya Singh, Orchid Chetia Phukan, Rinki Gupta, Anand Nayyar
Hybrid deep learning model for wearable sensor-based stress recognition for Internet of Medical Things (IoMT) system. Int. J. Commun. Syst. 37 (3) (2024)
Chandrasen Pandey, Neeraj Baghel, Rinki Gupta, Malay Kishore Dutta
Nocturnal sleep sounds classification with artificial neural network for sleep monitoring. Multim. Tools Appl. 83 (6) (2024)
Ganesha H. S, Rinki Gupta, Sindhu Hak Gupta, Sreeraman Rajan
Few-shot transfer learning for wearable IMU-based human activity recognition. Neural Comput. Appl. 36 (18) (2024)
Deepali Singh, Rinki Gupta, Arun Kumar, Rajendar Bahl
Attention based Convolutional Neural Network for Active Noise Control. ICMLSC (2024)
Deepali Singh, Rinki Gupta, Arun Kumar, Rajendar Bahl
Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup. Eng. Appl. Artif. Intell. 135 (2024)
S. Sharma, Rinki Gupta, A. Kumar
Continuous sign language recognition using isolated signs data and deep transfer learning. J. Ambient Intell. Humaniz. Comput. 14 (3) (2023)
Ganesha H. S, Rinki Gupta, Sindhu Hak Gupta, Sreeraman Rajan
Deep Learning Ensemble for Recognising Lower Limb Activity. SAS (2023)
S. Sharma, Rinki Gupta, Arun Kumar
Trbaggboost: an ensemble-based transfer learning method applied to Indian Sign Language recognition. J. Ambient Intell. Humaniz. Comput. 13 (7) (2022)
Rinki Gupta, Arun Kumar
Indian sign language recognition using wearable sensors and multi-label classification. Comput. Electr. Eng. 90 (2021)
Karush Suri, Rinki Gupta
Classification of Hand Gestures from Wearable IMUs using Deep Neural Network. CoRR (2020)
Karush Suri, Rinki Gupta
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs. CoRR (2020)
Rinki Gupta, Karush Suri
Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model. CoRR (2020)
Karush Suri, Rinki Gupta
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. CoRR (2020)
Karush Suri, Rinki Gupta
Dual Stage Classification of Hand Gestures using Surface Electromyogram. CoRR (2020)
Karush Suri, Rinki Gupta
Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture. CoRR (2020)
Rinki Gupta
On the Selection of Number of Sensors for a Wearable Sign Language Recognition System. IC3 (2019)
Karush Suri, Rinki Gupta
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. Comput. Electr. Eng. 78 (2019)
Rinki Gupta, Arun Kumar, Rajendar Bahl
Estimation of instantaneous frequencies using iterative empirical mode decomposition. Signal Image Video Process. 8 (5) (2014)