no code implementations • 27 Apr 2020 • Karush Suri, Rinki Gupta
The predicted outputs are analyzed in the form of classification accuracies which are then compared to the conventional classification schemes of SVM and kNN.
no code implementations • 27 Apr 2020 • Rinki Gupta, Karush Suri
Classified outputs are compared with the transition regions in a stimulus given to the subject to perform the activity.
no code implementations • 27 Apr 2020 • Karush Suri, Rinki Gupta
Sign Language is used by the deaf community all over world.
no code implementations • 27 Apr 2020 • Karush Suri, Rinki Gupta
The performance of the proposed approach is compared to the conventional single stage classification approach in terms of classification accuracies.
no code implementations • 27 Apr 2020 • 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.
no code implementations • 21 Apr 2020 • Karush Suri, Rinki Gupta
The proposed work presents a novel one-dimensional Convolutional Neural Network (CNN) array architecture for recognition of signs from the Indian sign language using signals recorded from a custom designed wearable IMU device.