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

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10.1109/smc.2014.6974236

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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

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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.",

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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.

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KW - Handwritten number recognition

KW - Kinect

KW - Support vector machine

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

Abstract

Keywords

ASJC Scopus subject areas

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