Trbaggboost: an ensemble-based transfer learning method applied to Indian Sign Language recognition

• Published in: Journal of ambient intelligence and humanized computing Vol. 13; no. 7; pp. 3527 - 3537
• Main Authors: Sharma, S., Gupta, R., Kumar, A.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2022; Springer Nature B.V
• Subjects: Accelerometers; Accuracy; Algorithms; Artificial Intelligence; Classification; Computational Intelligence; Data acquisition; Decision trees; Engineering; Hands; Machine learning; Original Research; Robotics and Automation; Sensors; Sign language; Support vector machines; User Interfaces and Human Computer Interaction; Sign language recognition; Ensemble learning; Transfer learning; Indian Sign Language

An efficient sign language recognition (SLR) system would help speech and hearing-impaired people to communicate with normal people. This work aims to develop a SLR system for Indian sign language using data acquired from multichannel surface electromyogram, tri-axis accelerometers and tri-axis gyro...