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Rinki Gupta
ORCID
Publication Activity (10 Years)
Years Active: 2014-2024
Publications (10 Years): 13
Top Topics
Empirical Mode Decomposition
Hand Gestures
Sign Language
Convolutional Neural Network
Top Venues
CoRR
Comput. Electr. Eng.
J. Ambient Intell. Humaniz. Comput.
Multim. Tools Appl.
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Publications
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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)
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)