Abstract
This paper describes a method for automatic recognition of isolated Swedish Sign Language signs for the purpose of educational signing-based games. Two datasets consisting of 51 signs have been recorded from a total of 7 (experienced) and 10 (inexperienced) adult signers. The signers performed all of the signs 5 times and were captured with a RGB-D (Kinect) sensor, via a purpose-built recording application. A recognizer based on manual components of sign language is presented and tested on the collected datasets. Signer-dependent recognition rate is 95.3% for the most consistent signer. Signer-independent recognition rate is on average 57.9% for the experienced signers and 68.9% for the inexperienced.
Original language | English |
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Title of host publication | Proceedings of the 4th European and 7th Nordic Symposium on Multimodal Communication (MMSYM 2016) |
Editors | Patrizia Paggio, Costanza Navarretta |
Place of Publication | Linköping Sweden |
Publisher | Linköping University Electronic Press |
Pages | 18-27 |
Number of pages | 10 |
ISBN (Electronic) | 9789176854235 |
Publication status | Published - 2017 |
Externally published | Yes |
Event | European and Nordic Symposium on Multimodal Communication 2016 - Copenhagen Duration: 29 Sept 2016 → 30 Sept 2020 Conference number: 4th & 7th https://ep.liu.se/en/conference-issue.aspx?series=ecp&issue=141 (Proceedings) https://igesto.wordpress.com/2016/05/26/the-4th-european-and-7th-nordic-symposium-on-multimodal-communication-university-of-copenhagen-29-30-september-2016/ (Website) |
Publication series
Name | Linköping Electronic Conference Proceedings |
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Publisher | Linköping University Electronic Press |
Volume | 141 |
ISSN (Print) | 1650-3686 |
ISSN (Electronic) | 1650-3740 |
Conference
Conference | European and Nordic Symposium on Multimodal Communication 2016 |
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City | Copenhagen |
Period | 29/09/16 → 30/09/20 |
Internet address |