Integrating computer vision techniques into a touch pad system

A key strength of touchpads, such as iPads or Galaxy Tabs, is that they provide portable access to the Internet and many applications that entertain and help managing the lives of users. The integration of computer vision methods into touchpads results in even more powerful devices that enable natu...

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Bibliographic Details
Main Author:	Kim, Seule Ki
Language:	en_US
Published:	2016
Subjects:	Computer science
Online Access:	https://hdl.handle.net/2144/14105

id	ndltd-bu.edu-oai-open.bu.edu-2144-14105
record_format	oai_dc
spelling	ndltd-bu.edu-oai-open.bu.edu-2144-141052019-01-08T15:36:31Z Integrating computer vision techniques into a touch pad system Kim, Seule Ki Computer science A key strength of touchpads, such as iPads or Galaxy Tabs, is that they provide portable access to the Internet and many applications that entertain and help managing the lives of users. The integration of computer vision methods into touchpads results in even more powerful devices that enable natural human-computer interaction. This thesis proposes two techniques of incorporating computer vision methods -- one technique supports touch-based interaction for biomedical image analysis, the other camera-based interaction for music therapy and entertainment: I'mCell is an application for annotating objects in images, for example, cells in phase-contrast microscopy images. MusicTracks recognizes a user's facial expression, captured by the camera of the touchpad, and plays music according to the user's mood. The I'mCell and MusicTracks applications have been implemented for the iPad. Users who experimented with the applications report them to be convenient because they enable efficient (I'mCell) and enjoyable (MusicTracks) interactions and are easy-to-use and portable. 2016-01-27T16:40:43Z 2016-01-27T16:40:43Z 2013 2016-01-22T18:53:51Z Thesis/Dissertation https://hdl.handle.net/2144/14105 en_US
collection	NDLTD
language	en_US
sources	NDLTD
topic	Computer science
spellingShingle	Computer science Kim, Seule Ki Integrating computer vision techniques into a touch pad system
description	A key strength of touchpads, such as iPads or Galaxy Tabs, is that they provide portable access to the Internet and many applications that entertain and help managing the lives of users. The integration of computer vision methods into touchpads results in even more powerful devices that enable natural human-computer interaction. This thesis proposes two techniques of incorporating computer vision methods -- one technique supports touch-based interaction for biomedical image analysis, the other camera-based interaction for music therapy and entertainment: I'mCell is an application for annotating objects in images, for example, cells in phase-contrast microscopy images. MusicTracks recognizes a user's facial expression, captured by the camera of the touchpad, and plays music according to the user's mood. The I'mCell and MusicTracks applications have been implemented for the iPad. Users who experimented with the applications report them to be convenient because they enable efficient (I'mCell) and enjoyable (MusicTracks) interactions and are easy-to-use and portable.
author	Kim, Seule Ki
author_facet	Kim, Seule Ki
author_sort	Kim, Seule Ki
title	Integrating computer vision techniques into a touch pad system
title_short	Integrating computer vision techniques into a touch pad system
title_full	Integrating computer vision techniques into a touch pad system
title_fullStr	Integrating computer vision techniques into a touch pad system
title_full_unstemmed	Integrating computer vision techniques into a touch pad system
title_sort	integrating computer vision techniques into a touch pad system
publishDate	2016
url	https://hdl.handle.net/2144/14105
work_keys_str_mv	AT kimseuleki integratingcomputervisiontechniquesintoatouchpadsystem
_version_	1718810993229824000

Integrating computer vision techniques into a touch pad system

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