activity
20202025
most citedContinuous sign language recognition from wearable IMUs using deep capsule networks and game theory

53 citations · 120 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.LG2020★ 2 cited

Energy-based Surprise Minimization for Multi-Agent Value Factorization

Karush Suri, Xiao Qi Shi, Konstantinos Plataniotis +1

Multi-Agent Reinforcement Learning (MARL) has demonstrated significant success in training decentralised policies in a centralised manner by making use of value factorization metho…

cs.LG2020★ 9 cited

Maximum Mutation Reinforcement Learning for Scalable Control

Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis +1

Advances in Reinforcement Learning (RL) have demonstrated data efficiency and optimal control over large state spaces at the cost of scalable performance. Genetic methods, on the o…

eess.SP2020★ 14 cited

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…

eess.SP2020★ 1 cited

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…

eess.SP2020★ 11 cited

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…

eess.SP2020★ 53 cited

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…

eess.SP2020★ 1 cited

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…

eess.SP2020★ 22 cited

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…