Hand Gesture and Character Recognition Based on Kinect Sensor
The purpose of this research was to see if Kinect sensor can recognize numeric and alphabetic characters written with the hand in the air. Kinect sensor can capture motion without the sensor device being attached to the user's body. The input screen has both modes of numerals and alphabet. The...
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2014-07-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2014/278460 |
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doaj-51908c8e0ae34dcb8229e5d90223e4522020-11-25T03:44:02ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-07-011010.1155/2014/278460278460Hand Gesture and Character Recognition Based on Kinect SensorTomoya MurataJungpil ShinThe purpose of this research was to see if Kinect sensor can recognize numeric and alphabetic characters written with the hand in the air. Kinect sensor can capture motion without the sensor device being attached to the user's body. The input screen has both modes of numerals and alphabet. The recognition rate was measured and the user wrote the numbers from zero to nine and the letters from A to Z twice. Alphabet recognition relied on Palm's Graffiti. The input numerals and alphabet were recognized by dynamic programming matching based on interstroke information. In addition, this system can perform the numeral operation, such as +, −, ×, and /. Most people are not used to writing in the air and are unfamiliar with Kinect sensor, and it takes some time to master them both. First, the user needs to become accustomed to using the sensor. Average recognition rates of 95.0% and 98.9%, respectively, were obtained for numerical and alphabetical characters.https://doi.org/10.1155/2014/278460 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tomoya Murata Jungpil Shin |
spellingShingle |
Tomoya Murata Jungpil Shin Hand Gesture and Character Recognition Based on Kinect Sensor International Journal of Distributed Sensor Networks |
author_facet |
Tomoya Murata Jungpil Shin |
author_sort |
Tomoya Murata |
title |
Hand Gesture and Character Recognition Based on Kinect Sensor |
title_short |
Hand Gesture and Character Recognition Based on Kinect Sensor |
title_full |
Hand Gesture and Character Recognition Based on Kinect Sensor |
title_fullStr |
Hand Gesture and Character Recognition Based on Kinect Sensor |
title_full_unstemmed |
Hand Gesture and Character Recognition Based on Kinect Sensor |
title_sort |
hand gesture and character recognition based on kinect sensor |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2014-07-01 |
description |
The purpose of this research was to see if Kinect sensor can recognize numeric and alphabetic characters written with the hand in the air. Kinect sensor can capture motion without the sensor device being attached to the user's body. The input screen has both modes of numerals and alphabet. The recognition rate was measured and the user wrote the numbers from zero to nine and the letters from A to Z twice. Alphabet recognition relied on Palm's Graffiti. The input numerals and alphabet were recognized by dynamic programming matching based on interstroke information. In addition, this system can perform the numeral operation, such as +, −, ×, and /. Most people are not used to writing in the air and are unfamiliar with Kinect sensor, and it takes some time to master them both. First, the user needs to become accustomed to using the sensor. Average recognition rates of 95.0% and 98.9%, respectively, were obtained for numerical and alphabetical characters. |
url |
https://doi.org/10.1155/2014/278460 |
work_keys_str_mv |
AT tomoyamurata handgestureandcharacterrecognitionbasedonkinectsensor AT jungpilshin handgestureandcharacterrecognitionbasedonkinectsensor |
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