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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Main Authors: Tomoya Murata, Jungpil Shin
Format: Article
Language:English
Published: SAGE Publishing 2014-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/278460
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spelling 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
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AT jungpilshin handgestureandcharacterrecognitionbasedonkinectsensor
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