53 citations · 102 across the 6 of their papers we have counts for
6 papers
Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture
Karush Suri, Rinki Gupta
Recent advancements in diagnostic learning and development of gesture-based human machine interfaces have driven surface electromyography (sEMG) towards significant importance. Ana…
Dual Stage Classification of Hand Gestures using Surface Electromyogram
Karush Suri, Rinki Gupta
Surface electromyography (sEMG) is becoming exceeding useful in applications involving analysis of human motion such as in human-machine interface, assistive technology, healthcare…
Classification of Hand Gestures from Wearable IMUs using Deep Neural Network
Karush Suri, Rinki Gupta
IMUs are gaining significant importance in the field of hand gesture analysis, trajectory detection and kinematic functional study. An Inertial Measurement Unit (IMU) consists of t…
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory
Karush Suri, Rinki Gupta
Sign Language is used by the deaf community all over world. The work presented here proposes a novel one-dimensional deep capsule network (CapsNet) architecture for continuous Indi…
Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model
Rinki Gupta, Karush Suri
Surface electromyography (sEMG) has gained significant importance during recent advancements in consumer electronics for healthcare systems, gesture analysis and recognition and si…
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs
Karush Suri, Rinki Gupta
Advancements in gesture recognition algorithms have led to a significant growth in sign language translation. By making use of efficient intelligent models, signs can be recognized…