Online Handwriting Recognition using LSTM on Microcontroller and IMU Sensors

• Published in: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) pp. 999 - 1004
• Main Authors: Meisl, Florian, Eibensteiner, Florian, Petz, Phillip, Langer, Josef
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2022
• Subjects: Edge Computing; Handwriting recognition; IMU Sensor; LSTM; Machine Learning; Microcontroller; Microcontrollers; Online Handwriting Recognition; Prototypes; Quantization (signal); Real-time systems; Symbols; Training

The trend toward the Internet of Things has led to a rapid increase in the amount of data that needs to be processed. Artificial intelligence (AI) can serve as a very helpful tool to extract or compress essential information of data. However, AI places high demands on a system's hardware. This...