Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition

Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition

Bibliographic Details
Main Author: Marangoni, Matthew J.
Language:English
Published: Wright State University / OhioLINK 2013
Subjects:
Computer Science
Computer Engineering
HCI
Kinect
accelerometer
VR
OSS
gestural interface
gesture recognition
SVM
support vector machine
modal interface
body tracking
virtual environment interaction
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=wright1369256636
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-wright13692566362021-08-03T05:23:42Z Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition Marangoni, Matthew J. Computer Science Computer Engineering HCI Kinect accelerometer VR OSS gestural interface gesture recognition SVM support vector machine modal interface body tracking virtual environment interaction Virtual environments provide insightful and meaningful ways to explore data sets through immersive experiences. One of the ways immersion is achieved is through natural interaction methods instead of only a keyboard and mouse. Intuitive tracking systems for natural interfaces suitable for such environments are often expensive. Recently however, devices such as gesture tracking gloves and skeletal tracking systems have emerged in the consumer market. This project integrates gestural interfaces into an open source virtual reality toolkit using consumer grade input devices and generates a set of tools to enable multimodal gestural interface creation. The AnthroTronix AcceleGlove is used to augment body tracking data from a Microsoft Kinect with fine grained hand gesture data. The tools are found to be useful as a sample gestural interface is implemented using them. The project concludes by suggesting studies targeting gestural interfaces using such devices as well as other areas for further research. 2013-05-25 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1369256636 http://rave.ohiolink.edu/etdc/view?acc_num=wright1369256636 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Computer Engineering
HCI
Kinect
accelerometer
VR
OSS
gestural interface
gesture recognition
SVM
support vector machine
modal interface
body tracking
virtual environment interaction
spellingShingle Computer Science
Computer Engineering
HCI
Kinect
accelerometer
VR
OSS
gestural interface
gesture recognition
SVM
support vector machine
modal interface
body tracking
virtual environment interaction
Marangoni, Matthew J.
Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition
author Marangoni, Matthew J.
author_facet Marangoni, Matthew J.
author_sort Marangoni, Matthew J.
title Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition
title_short Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition
title_full Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition
title_fullStr Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition
title_full_unstemmed Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking and Hand Gesture Recognition
title_sort low cost open source modal virtual environment interfaces using full body motion tracking and hand gesture recognition
publisher Wright State University / OhioLINK
publishDate 2013
url http://rave.ohiolink.edu/etdc/view?acc_num=wright1369256636
work_keys_str_mv AT marangonimatthewj lowcostopensourcemodalvirtualenvironmentinterfacesusingfullbodymotiontrackingandhandgesturerecognition
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