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Online Handwriting Recognition using LSTM on Microcontroller and IMU Sensors
Daniel Lauß
,
Florian Eibensteiner
,
Josef Langer
,
Phillip Michael Christian Fred Petz
Research Center Hagenberg
Focal area ICT - Information & Communications Technology
Focal area Digital Transformation
Embedded Systems
Center of Excellence Medical Engineering/TIMed Center
Center of Excellence for Smart Production
Research output
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›
Paper
›
peer-review
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Keyphrases
Inertial Measurement Unit Sensors
100%
Microcontroller
100%
Online Handwriting Recognition
100%
Neural Network
66%
Controller
33%
Inertial Measurement Unit
33%
Unit-based
33%
Hand Gesture Recognition
33%
Hand Gesture
33%
Deep Neural Network
33%
Memory Consumption
33%
Accelerometer
33%
Low Power
33%
Throughput Time
33%
Model Selection
33%
Runtime Analysis
33%
Gyroscope
33%
Engineering
Microcontroller
100%
Lstm
100%
Inertial Measurement Unit
100%
Deep Neural Network
66%
Chemical Engineering
Neural Network
100%
Deep Neural Network
100%
Long Short-Term Memory Network
100%
Earth and Planetary Sciences
Long Short-Term Memory Network
100%