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Ball Course Detection Function for the Blind Bowling Support System Using a Depth Sensor Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Zoning-Based Gesture Recognition to Enable a Mobile Lorm Trainer

Authors : Michael Schmidt, Cathleen Bank, Gerhard Weber

Published in: Computers Helping People with Special Needs

Publisher: Springer International Publishing

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Abstract

In this work, a mobile learning tool for the Lorm-alphabet is developed. A person who is deaf-blind is lorming by finger spelling on another person’s palm and fingers. We aim to provide an easy and anywhere to use Lorm trainer for caregivers, companions, and the general public. A robust gesture recognition utilizing zoning techniques and matching of symbol sequences has been developed for touch sensitive mobile devices. Tests with three users of the target group were conducted and qualitative evaluation of three experts was obtained. Overall, our development got positive feedback and a broad demand for the application was communicated. It is promising not only to support students of Lorm in their training process, but to widen the application of Lorm, therefore, diminishing social isolation of deaf-blind.

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previous chapter An Empirical Evaluation of MoonTouch: A Soft Keyboard for Visually Impaired People
next chapter HandiMathKey: Mathematical Keyboard for Disabled Person
Footnotes
1
An analysis of pixel density may lead to further improvements of classification accuracy.
 
2
The app’s acronym works in English and German and means LEarning LORM.
 
3
Letter frequencies of phrases designed for tests - and used in evaluation - correlate at \(r=0.96\) with that in German language.
 
4
An Asus Transformer Pad TF300TG (NVIDIA Tegra 3, 1,3 GHz, 1 GB RAM, Android 4.2.1) with 10,1” screen with capacitive 10 finger multi-touch.
 
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Metadata
Title
Zoning-Based Gesture Recognition to Enable a Mobile Lorm Trainer
Authors
Michael Schmidt
Cathleen Bank
Gerhard Weber
Copyright Year
2016
Book
Computers Helping People with Special Needs

Print ISBN: 978-3-319-41266-5

Electronic ISBN: 978-3-319-41267-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-41267-2_67