Airwriting recognition using wearable motion sensors

  title={Airwriting recognition using wearable motion sensors},
  author={Christoph Amma and Dirk Gehrig and Tanja Schultz},
In this work we present a wearable input device which enables the user to input text into a computer. The text is written into the air via character gestures, like using an imaginary blackboard. To allow hands-free operation, we designed and implemented a data glove, equipped with three gyroscopes and three accelerometers to measure hand motion. Data is sent wirelessly to the computer via Bluetooth. We use HMMs for character recognition and concatenated character models for word recognition. As… CONTINUE READING
Highly Cited
This paper has 79 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 28 extracted citations

Feature Processing and Modeling for 6D Motion Gesture Recognition

IEEE Transactions on Multimedia • 2013
View 4 Excerpts
Highly Influenced

A novel air writing recognition system using Raspberry Pi for the control and interaction of digital systems

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) • 2017
View 1 Excerpt

Air-writing characters modelling and recognition on modified CHMM

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) • 2016
View 2 Excerpts

PHYS.IO: Wearable hand tracking device

2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) • 2016
View 1 Excerpt

79 Citations

Citations per Year
Semantic Scholar estimates that this publication has 79 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…