Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer

Chung Yen Su; Fu An Huang; Che Yang Shih; Yu Tang Chen

doi:10.1109/smc.2014.6974236

Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer

Chung Yen Su, Fu An Huang, Che Yang Shih, Yu Tang Chen

Department of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

This paper presents a Kinect-based midair handwritten number recognition that can be used to dial a phone number and set a countdown timer. When cooking in the kitchen, making a phone call or setting a kitchen timer is often inconvenient. This number recognition system was based on previous studies of television remote controls. An average recognition accuracy of 94.6% was achieved for each number by using multiple segments and scaled coding. Two Android apps were developed for the recognition system. In addition, the four direction recognition system developed in a previous study was improved, increasing the recognition reliability. Experimental results verified the effectiveness of the system.

Original language	English
Article number	6974236
Pages (from-to)	2127-2130
Number of pages	4
Journal	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2014-January
Issue number	January
DOIs	https://doi.org/10.1109/smc.2014.6974236
Publication status	Published - 2014
Event	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States Duration: 2014 Oct 5 → 2014 Oct 8

Keywords

Android
Hand gesture recognition
Handwritten number recognition
Kinect
Support vector machine

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/smc.2014.6974236

Fingerprint Dive into the research topics of 'Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer'. Together they form a unique fingerprint.

Cite this

Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer. / Su, Chung Yen; Huang, Fu An; Shih, Che Yang; Chen, Yu Tang.

In: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Vol. 2014-January, No. January, 6974236, 2014, p. 2127-2130.

Research output: Contribution to journal › Conference article › peer-review

@article{8501f3b172da4288b0ebd4d66628b7af,

title = "Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer",

abstract = "This paper presents a Kinect-based midair handwritten number recognition that can be used to dial a phone number and set a countdown timer. When cooking in the kitchen, making a phone call or setting a kitchen timer is often inconvenient. This number recognition system was based on previous studies of television remote controls. An average recognition accuracy of 94.6% was achieved for each number by using multiple segments and scaled coding. Two Android apps were developed for the recognition system. In addition, the four direction recognition system developed in a previous study was improved, increasing the recognition reliability. Experimental results verified the effectiveness of the system.",

keywords = "Android, Hand gesture recognition, Handwritten number recognition, Kinect, Support vector machine",

author = "Su, {Chung Yen} and Huang, {Fu An} and Shih, {Che Yang} and Chen, {Yu Tang}",

year = "2014",

doi = "10.1109/smc.2014.6974236",

language = "English",

volume = "2014-January",

pages = "2127--2130",

journal = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

issn = "1062-922X",

number = "January",

note = "2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 ; Conference date: 05-10-2014 Through 08-10-2014",

}

TY - JOUR

T1 - Kinect-based midair handwritten number recognition system for dialing numbers and setting a timer

AU - Su, Chung Yen

AU - Huang, Fu An

AU - Shih, Che Yang

AU - Chen, Yu Tang

PY - 2014

Y1 - 2014

N2 - This paper presents a Kinect-based midair handwritten number recognition that can be used to dial a phone number and set a countdown timer. When cooking in the kitchen, making a phone call or setting a kitchen timer is often inconvenient. This number recognition system was based on previous studies of television remote controls. An average recognition accuracy of 94.6% was achieved for each number by using multiple segments and scaled coding. Two Android apps were developed for the recognition system. In addition, the four direction recognition system developed in a previous study was improved, increasing the recognition reliability. Experimental results verified the effectiveness of the system.

AB - This paper presents a Kinect-based midair handwritten number recognition that can be used to dial a phone number and set a countdown timer. When cooking in the kitchen, making a phone call or setting a kitchen timer is often inconvenient. This number recognition system was based on previous studies of television remote controls. An average recognition accuracy of 94.6% was achieved for each number by using multiple segments and scaled coding. Two Android apps were developed for the recognition system. In addition, the four direction recognition system developed in a previous study was improved, increasing the recognition reliability. Experimental results verified the effectiveness of the system.

KW - Android

KW - Hand gesture recognition

KW - Handwritten number recognition

KW - Kinect

KW - Support vector machine

UR - http://www.scopus.com/inward/record.url?scp=84938153054&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84938153054&partnerID=8YFLogxK

U2 - 10.1109/smc.2014.6974236

DO - 10.1109/smc.2014.6974236

M3 - Conference article

AN - SCOPUS:84938153054

VL - 2014-January

SP - 2127

EP - 2130

JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SN - 1062-922X

IS - January

M1 - 6974236

T2 - 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014

Y2 - 5 October 2014 through 8 October 2014

ER -