An Ironing Support System with Superimposed Information for Beginners

Suzuki, Kimie; Fujinami, Kaori

doi:10.1109/compsacw.2014.92

Cited by 1 publication

(4 citation statements)

References 11 publications

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“…Also, the wrinkle detection and enhancement components should be integrated into an existing ironing instruction system [32] to support a whole procedure of ironing. …”

Section: Resultsmentioning

confidence: 99%

“…The support ranges from presenting step-by-step instruction on the kitchen table [8,29] to presenting the method of handling ingredients, e.g., cutting fish by projecting the direction of moving a kitchen knife [33]. In case of ironing, Suzuki and Fujinami investigated a system that presents instructions for effective ironing of a shirt for novice users based on activity recognition, in which the effectiveness of reducing wrinkles compared with a stepby-step manual instruction acquisition on a PC screen was confirmed; however, wrinkles were not sufficiently removed according to the reports from experts [32]. This article is considered to be an extension of the work by focusing on wrinkle detection and presentation method toward more effective ironing support system.…”

Section: Related Workmentioning

confidence: 99%

“…Suzuki and Fujinami investigated an ironing support system using a video projector to instruct effective way of ironing a shirt. A pilot study showed that presenting regions of wrinkles was found to be important [32].…”

Section: Introductionmentioning

confidence: 99%

“…The basic characteristics of a projector-based interaction are as follows. Firstly, spatial information such as pointing a particular object or place in an environment can be provided [4,9,10,24,[31][32][33]. Secondly, visual characteristics of physical world can be changed by projected light [1].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Projector-Camera System for Ironing Support with Wrinkle Enhancement

Suzuki¹,

Fujinami²

2017

ICST Transactions on Ambient Systems

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Ironing is one of troublesome houseworks, in which the goal of the task is to remove wrinkles caused during washing. A projector has advantages in physical world instruction over an instruction sheet, a Head Mounted Display, or a smartphone/tablet PC because of direct mapping of instructive information on the target object. In this article, we propose a method to detect wrinkles using machine-learning and a system to present detected wrinkles by enhancing the area of wrinkles through a projector. In total, 47 infrared image features are defined, from which 15 features are finally used, to classify 32 pixels squares (about 4.5 cm squares) of regions of interest into one of four classes including wrinkle, flat, sagging, and tuck. A RandomForest classifier successfully identified 93.0 % of the wrinkle class. The comparison of wrinkle enhancement methods implies that presenting all ROIs on an ironing board at a time is more effective in removing wrinkles than enhancing an area around and ahead of an iron. Also, we found that making a user realize the effect of wrinkle removal is important to reduce wrinkles efficiently and showed prospective solutions for this issue.

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“…Also, the wrinkle detection and enhancement components should be integrated into an existing ironing instruction system [32] to support a whole procedure of ironing. …”

Section: Resultsmentioning

confidence: 99%