Handwriting Recognition Based on 3D Accelerometer Data by Deep Learning

• Published in: Applied sciences Vol. 12; no. 13; p. 6707
• Main Authors: Lopez-Rodriguez, Pedro, Avina-Cervantes, Juan Gabriel, Contreras-Hernandez, Jose Luis, Correa, Rodrigo, Ruiz-Pinales, Jose
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2022
• Subjects: 3D accelerometer data; 3D signal processing; Accelerometers; Algorithms; Classification; Convolutional Neural Networks (CNN); Deep learning; Discriminant analysis; Handwriting; handwritten character recognition; Interfaces; Long Short-Term Memory (LSTM); Neural networks; Sensors; Sign language; Smartphones; Smartwatches; Wearable computers; Writing

Online handwriting recognition has been the subject of research for many years. Despite that, a limited number of practical applications are currently available. The widespread use of devices such as smartphones, smartwatches, and tablets has not been enough to convince the user to use pen-based int...