In the recent years, sensors within the mobile devices are the center of attraction for people. This paper proposes a system for gesture recognition. System uses in-built accelerometer in the mobile phone to recognize the gesture. Simply by holding a phone like a pen a human draws gesture in the form of figure or characters. The acceleration due to real time hand gesture can be translated into strokes and identified. Gesture pattern is stored and mapped with the predefined gesture. Various applications on the computer have to be controlled by keyboard or mouse. But the proposed system provides a feature of handling the application on computer remotely. Future work is focused on refining the prototype with an aim of providing the users with new experience which complements the mouse and keyboards.
%0 Conference Paper
%1 hursale2015smartphones
%A Hursale, Sagar
%A Makwana, Hiren
%A Panchal, Ankit
%A Bhakkad, Chintan
%A Vairagar, Shubhangi
%B Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering & Technology (ICARCSET 2015)
%C New York, NY, USA
%D 2015
%I Association for Computing Machinery (ACM)
%K accelerometer gesture-recognition real sensor stroke
%R 10.1145/2743065.2743114
%T Smartphone’s Based Gesture Recognition in Air
%U https://doi.org/10.1145/2743065.2743114
%X In the recent years, sensors within the mobile devices are the center of attraction for people. This paper proposes a system for gesture recognition. System uses in-built accelerometer in the mobile phone to recognize the gesture. Simply by holding a phone like a pen a human draws gesture in the form of figure or characters. The acceleration due to real time hand gesture can be translated into strokes and identified. Gesture pattern is stored and mapped with the predefined gesture. Various applications on the computer have to be controlled by keyboard or mouse. But the proposed system provides a feature of handling the application on computer remotely. Future work is focused on refining the prototype with an aim of providing the users with new experience which complements the mouse and keyboards.
%@ 9781450334419
@inproceedings{hursale2015smartphones,
abstract = {In the recent years, sensors within the mobile devices are the center of attraction for people. This paper proposes a system for gesture recognition. System uses in-built accelerometer in the mobile phone to recognize the gesture. Simply by holding a phone like a pen a human draws gesture in the form of figure or characters. The acceleration due to real time hand gesture can be translated into strokes and identified. Gesture pattern is stored and mapped with the predefined gesture. Various applications on the computer have to be controlled by keyboard or mouse. But the proposed system provides a feature of handling the application on computer remotely. Future work is focused on refining the prototype with an aim of providing the users with new experience which complements the mouse and keyboards.},
added-at = {2019-11-14T07:27:46.000+0100},
address = {New York, NY, USA},
articleno = {Article 49},
author = {Hursale, Sagar and Makwana, Hiren and Panchal, Ankit and Bhakkad, Chintan and Vairagar, Shubhangi},
biburl = {https://www.bibsonomy.org/bibtex/2457a9f8ff5516589438dd2ed7044c407/jpmor},
booktitle = {Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering \& Technology (ICARCSET 2015)},
doi = {10.1145/2743065.2743114},
interhash = {592a820b178e8e0a7f7d56f293b07080},
intrahash = {457a9f8ff5516589438dd2ed7044c407},
isbn = {9781450334419},
keywords = {accelerometer gesture-recognition real sensor stroke},
language = {English},
location = {Unnao, India},
numpages = {5},
publisher = {Association for Computing Machinery (ACM)},
school = {Siddhant College of Engineering (SCoE)},
series = {ICARCSET ’15},
timestamp = {2020-10-07T13:36:50.000+0200},
title = {Smartphone’s Based Gesture Recognition in Air},
url = {https://doi.org/10.1145/2743065.2743114},
year = 2015
}