What Did You Mean? An Evaluation of Online Character Recognition Approaches

Christopher Koellner, Marc Kurz, Erik Sonnleitner

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper presents a project that deals with online character recognition based on various time series such as acceleration, gyro and force. One important aspect of this work is the comparison and evaluation between a complex neural network-more precisely a Long-Short-Term-Memory network (LSTM)-and more comprehensible models such as K-Nearest Neighbours (KNN), Linear Discriminant Analysis (LDA) and NaiveBayes (NB). LSTMs have shown to not only be suitable for speech recognition but also for the recognition of handwriting based on time series due to its ability to learn long-Time dependencies of the provided data. Online handwriting describes the usage of a digitizer in order to convert analogue sensor data to a digital representation of the handwriting. The digitizer used in our approach refers to a sensor enhanced ball pen developed by STA-BILO. The data set used for training consists of approximately 20,000 lowercase English alphabet characters in total contributed by 15 different people. The discussed approaches are evaluated and compared against each other using the recorded dataset, while taking recognition rates (i.e., accuracy) into account.

Original languageEnglish
Title of host publication2019 International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728133164
DOIs
Publication statusPublished - Oct 2019
Event15th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2019 - Barcelona, Spain
Duration: 21 Oct 201923 Oct 2019

Publication series

NameInternational Conference on Wireless and Mobile Computing, Networking and Communications
Volume2019-October
ISSN (Print)2161-9646
ISSN (Electronic)2161-9654

Conference

Conference15th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2019
CountrySpain
CityBarcelona
Period21.10.201923.10.2019

Keywords

  • Long Short Term Memory Network
  • Machine Learning
  • Mobile Platform Evaluation
  • Online Handwriting Recognition

Fingerprint Dive into the research topics of 'What Did You Mean? An Evaluation of Online Character Recognition Approaches'. Together they form a unique fingerprint.

Cite this