Low power gesture sensing algorithms

Hand gesture sensing is becoming more popular and important as a method of communicating with computer. With the arise of Internet of Things trend, low power has become a very critical feature in designing circuit. In this project, we develop low power hand gesture sensing algorithm which is suitabl...

Full description

Saved in:
Bibliographic Details
Main Author: Tey, Yao Chern
Other Authors: Kim Tae Hyoung
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75151
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-75151
record_format dspace
spelling sg-ntu-dr.10356-751512023-07-07T16:08:27Z Low power gesture sensing algorithms Tey, Yao Chern Kim Tae Hyoung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Hand gesture sensing is becoming more popular and important as a method of communicating with computer. With the arise of Internet of Things trend, low power has become a very critical feature in designing circuit. In this project, we develop low power hand gesture sensing algorithm which is suitable for low power circuit. Bachelor of Engineering 2018-05-28T08:24:42Z 2018-05-28T08:24:42Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75151 en Nanyang Technological University 48 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::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Tey, Yao Chern
Low power gesture sensing algorithms
description Hand gesture sensing is becoming more popular and important as a method of communicating with computer. With the arise of Internet of Things trend, low power has become a very critical feature in designing circuit. In this project, we develop low power hand gesture sensing algorithm which is suitable for low power circuit.
author2 Kim Tae Hyoung
author_facet Kim Tae Hyoung
Tey, Yao Chern
format Final Year Project
author Tey, Yao Chern
author_sort Tey, Yao Chern
title Low power gesture sensing algorithms
title_short Low power gesture sensing algorithms
title_full Low power gesture sensing algorithms
title_fullStr Low power gesture sensing algorithms
title_full_unstemmed Low power gesture sensing algorithms
title_sort low power gesture sensing algorithms
publishDate 2018
url http://hdl.handle.net/10356/75151
_version_ 1772826680302239744