Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Gupta, Rinki"'
Publikováno v:
In Engineering Applications of Artificial Intelligence September 2024 135
Autor:
Gupta, Rinki, Singh, Rashmi, Travieso-González, Carlos M., Burget, Radim, Kishore Dutta, Malay
Publikováno v:
In Biomedical Signal Processing and Control July 2024 93
Autor:
Suri, Karush, Gupta, Rinki
Recent advancements in diagnostic learning and development of gesture-based human machine interfaces have driven surface electromyography (sEMG) towards significant importance. Analysis of hand gestures requires an accurate assessment of sEMG signals
Externí odkaz:
http://arxiv.org/abs/2005.03460
Autor:
Suri, Karush, Gupta, Rinki
Surface electromyography (sEMG) is becoming exceeding useful in applications involving analysis of human motion such as in human-machine interface, assistive technology, healthcare and prosthetic development. The proposed work presents a novel dual s
Externí odkaz:
http://arxiv.org/abs/2005.01711
Autor:
Suri, Karush, Gupta, Rinki
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 Indian Sign Language recognition by means of signals obtained from a custo
Externí odkaz:
http://arxiv.org/abs/2005.00409
Autor:
Suri, Karush, Gupta, Rinki
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 tri-axial accelerometers and gyroscopes which can together be used for
Externí odkaz:
http://arxiv.org/abs/2005.00410
Autor:
Gupta, Rinki, Suri, Karush
Surface electromyography (sEMG) has gained significant importance during recent advancements in consumer electronics for healthcare systems, gesture analysis and recognition and sign language communication. For such a system, it is imperative to dete
Externí odkaz:
http://arxiv.org/abs/2005.00107
Autor:
Suri, Karush, Gupta, Rinki
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 with precision. The proposed work presents a novel one-dimensional Co
Externí odkaz:
http://arxiv.org/abs/2004.11836
Autor:
Gupta, Rinki, Kumar, Arun
Publikováno v:
In Computers and Electrical Engineering March 2021 90
Publikováno v:
Neural Computing & Applications; Jun2024, Vol. 36 Issue 18, p10811-10823, 13p