Flying mouse

A highly integrated sports watch with an inbuilt accelerometer is capable of communicate with the computer through a CC1111 USB RF access point. The accelerometer is for measuring the accelerations point along the X, Y and Z axis. The data that collected from the accelerometer is from the orientatio...

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Main Author: Yew, Su Chiang
Other Authors: Yu Yajun
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63874
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-638742023-07-07T16:49:44Z Flying mouse Yew, Su Chiang Yu Yajun School of Electrical and Electronic Engineering Centre for Integrated Circuits and Systems DRNTU::Engineering::Computer science and engineering::Software::Software engineering A highly integrated sports watch with an inbuilt accelerometer is capable of communicate with the computer through a CC1111 USB RF access point. The accelerometer is for measuring the accelerations point along the X, Y and Z axis. The data that collected from the accelerometer is from the orientation of the wearer's arm. Base on software, a hand gesture is implemented to control the mouse pointer using the wearer's arm acceleration data of the hand movement and the inferred hand position to perform on different gestures. This project design is to create a gesture based on window operation system that allowed the user to perform corresponding tasks with using the mouse pointer and gesture recognition in real time situation. To achieve mouse pointer control, continuous monitoring the orientation of the device which faces in three-dimensional systems is necessary. The recognition of the designed gesture is dependent on the collected acceleration data of the three axes of the accelerometer from the device. The collected acceleration data within a data buffer must not exceed the threshold value that is set by the user, and this data will save into a single file to recognize as a gesture. The next gesture classification, such as learning and recognition is to use multiple layer perceptron (MLP) to learn the pattern or action independently and automatically. When the user-defined a direction of the wearer's arm, after completed the learning and recognition process, it must be able to execute the recognizing gesture with the existing data. Lastly, the selected software in this design must be capable of maintaining the executed gesture action profiles by the user, without interference or stop the wireless connection while interacting with the computer. Bachelor of Engineering 2015-05-19T08:43:47Z 2015-05-19T08:43:47Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63874 en Nanyang Technological University 63 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Software::Software engineering
spellingShingle DRNTU::Engineering::Computer science and engineering::Software::Software engineering
Yew, Su Chiang
Flying mouse
description A highly integrated sports watch with an inbuilt accelerometer is capable of communicate with the computer through a CC1111 USB RF access point. The accelerometer is for measuring the accelerations point along the X, Y and Z axis. The data that collected from the accelerometer is from the orientation of the wearer's arm. Base on software, a hand gesture is implemented to control the mouse pointer using the wearer's arm acceleration data of the hand movement and the inferred hand position to perform on different gestures. This project design is to create a gesture based on window operation system that allowed the user to perform corresponding tasks with using the mouse pointer and gesture recognition in real time situation. To achieve mouse pointer control, continuous monitoring the orientation of the device which faces in three-dimensional systems is necessary. The recognition of the designed gesture is dependent on the collected acceleration data of the three axes of the accelerometer from the device. The collected acceleration data within a data buffer must not exceed the threshold value that is set by the user, and this data will save into a single file to recognize as a gesture. The next gesture classification, such as learning and recognition is to use multiple layer perceptron (MLP) to learn the pattern or action independently and automatically. When the user-defined a direction of the wearer's arm, after completed the learning and recognition process, it must be able to execute the recognizing gesture with the existing data. Lastly, the selected software in this design must be capable of maintaining the executed gesture action profiles by the user, without interference or stop the wireless connection while interacting with the computer.
author2 Yu Yajun
author_facet Yu Yajun
Yew, Su Chiang
format Final Year Project
author Yew, Su Chiang
author_sort Yew, Su Chiang
title Flying mouse
title_short Flying mouse
title_full Flying mouse
title_fullStr Flying mouse
title_full_unstemmed Flying mouse
title_sort flying mouse
publishDate 2015
url http://hdl.handle.net/10356/63874
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