Loading…

Dual touch and gesture recognition in 4-wire resistive touchscreens

Enhanced user interface environments is a hot topic in industry. Multi-touch technologies based on projected capacitance are preferred in the consumer market as they provide a more friendly interaction with the user. Also, these technologies allow the tracking of an infinite number of fingers on the...

Full description

Saved in:
Bibliographic Details
Main Authors: Calpe-Maravilla, Javier, Medina, Italo, Martinez, Maria Jose, Carbajo, Alberto
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 790
container_issue
container_start_page 787
container_title
container_volume
creator Calpe-Maravilla, Javier
Medina, Italo
Martinez, Maria Jose
Carbajo, Alberto
description Enhanced user interface environments is a hot topic in industry. Multi-touch technologies based on projected capacitance are preferred in the consumer market as they provide a more friendly interaction with the user. Also, these technologies allow the tracking of an infinite number of fingers on the touch screen. However, resistive technologies cover applications gaps such as medical, automotive, or environments where wearing gloves is required. Additionally, resistive panels allow the use of basic stylus or pens which is essential for character recognition in Asian languages. Traditionally, resistive technologies have been used to detect the position of a single touch on the screen. The paper will describe how to detect the most common two finger gestures (zooms, pinches, and rotations) using inexpensive 4-wire resistive touch screens and how to detect the true location of dual touch with some modeling and calibration of the screen.
doi_str_mv 10.1109/ICSENS.2014.6985117
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_6985117</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6985117</ieee_id><sourcerecordid>6985117</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-3a6553a18d04620e4ea30fbcb311bd6d3ed0406b0a2769d189667c7e4b9667893</originalsourceid><addsrcrecordid>eNotj8tOwzAURA0CiVD6Bd34B1zu9dtLFApUqmBRWFdOcluMSoLiBMTf82hXM5qjGWkYmyHMESFcL8v14nE9l4B6boM3iO6ETYPzqF0IgFaqU1ZItF4EKcMZKzAoEKCCuWCXOb8BSDDSF6y8HeOeD91Yv_LYNnxHeRh74j3V3a5NQ-panlquxVf6T3PKQ_qkQyPXPVGbr9j5Nu4zTY86YS93i-fyQaye7pflzUokdGYQKlpjVETfgLYSSFNUsK3qSiFWjW0U_QKwFUTpbGjQB2td7UhXf8YHNWGzw24ios1Hn95j_705_lc_qVRMyQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Dual touch and gesture recognition in 4-wire resistive touchscreens</title><source>IEEE Xplore All Conference Series</source><creator>Calpe-Maravilla, Javier ; Medina, Italo ; Martinez, Maria Jose ; Carbajo, Alberto</creator><creatorcontrib>Calpe-Maravilla, Javier ; Medina, Italo ; Martinez, Maria Jose ; Carbajo, Alberto</creatorcontrib><description>Enhanced user interface environments is a hot topic in industry. Multi-touch technologies based on projected capacitance are preferred in the consumer market as they provide a more friendly interaction with the user. Also, these technologies allow the tracking of an infinite number of fingers on the touch screen. However, resistive technologies cover applications gaps such as medical, automotive, or environments where wearing gloves is required. Additionally, resistive panels allow the use of basic stylus or pens which is essential for character recognition in Asian languages. Traditionally, resistive technologies have been used to detect the position of a single touch on the screen. The paper will describe how to detect the most common two finger gestures (zooms, pinches, and rotations) using inexpensive 4-wire resistive touch screens and how to detect the true location of dual touch with some modeling and calibration of the screen.</description><identifier>ISSN: 1930-0395</identifier><identifier>EISSN: 2168-9229</identifier><identifier>EISBN: 9781479901623</identifier><identifier>EISBN: 1479901628</identifier><identifier>DOI: 10.1109/ICSENS.2014.6985117</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial neural networks ; Electrodes ; Fingers ; Gesture recognition ; Mathematical model ; modeling ; Resistance ; Resistive touch screens ; user interface environments ; Voltage measurement</subject><ispartof>IEEE SENSORS 2014 Proceedings, 2014, p.787-790</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6985117$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6985117$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Calpe-Maravilla, Javier</creatorcontrib><creatorcontrib>Medina, Italo</creatorcontrib><creatorcontrib>Martinez, Maria Jose</creatorcontrib><creatorcontrib>Carbajo, Alberto</creatorcontrib><title>Dual touch and gesture recognition in 4-wire resistive touchscreens</title><title>IEEE SENSORS 2014 Proceedings</title><addtitle>ICSENS</addtitle><description>Enhanced user interface environments is a hot topic in industry. Multi-touch technologies based on projected capacitance are preferred in the consumer market as they provide a more friendly interaction with the user. Also, these technologies allow the tracking of an infinite number of fingers on the touch screen. However, resistive technologies cover applications gaps such as medical, automotive, or environments where wearing gloves is required. Additionally, resistive panels allow the use of basic stylus or pens which is essential for character recognition in Asian languages. Traditionally, resistive technologies have been used to detect the position of a single touch on the screen. The paper will describe how to detect the most common two finger gestures (zooms, pinches, and rotations) using inexpensive 4-wire resistive touch screens and how to detect the true location of dual touch with some modeling and calibration of the screen.</description><subject>Artificial neural networks</subject><subject>Electrodes</subject><subject>Fingers</subject><subject>Gesture recognition</subject><subject>Mathematical model</subject><subject>modeling</subject><subject>Resistance</subject><subject>Resistive touch screens</subject><subject>user interface environments</subject><subject>Voltage measurement</subject><issn>1930-0395</issn><issn>2168-9229</issn><isbn>9781479901623</isbn><isbn>1479901628</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2014</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tOwzAURA0CiVD6Bd34B1zu9dtLFApUqmBRWFdOcluMSoLiBMTf82hXM5qjGWkYmyHMESFcL8v14nE9l4B6boM3iO6ETYPzqF0IgFaqU1ZItF4EKcMZKzAoEKCCuWCXOb8BSDDSF6y8HeOeD91Yv_LYNnxHeRh74j3V3a5NQ-panlquxVf6T3PKQ_qkQyPXPVGbr9j5Nu4zTY86YS93i-fyQaye7pflzUokdGYQKlpjVETfgLYSSFNUsK3qSiFWjW0U_QKwFUTpbGjQB2td7UhXf8YHNWGzw24ios1Hn95j_705_lc_qVRMyQ</recordid><startdate>201411</startdate><enddate>201411</enddate><creator>Calpe-Maravilla, Javier</creator><creator>Medina, Italo</creator><creator>Martinez, Maria Jose</creator><creator>Carbajo, Alberto</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201411</creationdate><title>Dual touch and gesture recognition in 4-wire resistive touchscreens</title><author>Calpe-Maravilla, Javier ; Medina, Italo ; Martinez, Maria Jose ; Carbajo, Alberto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-3a6553a18d04620e4ea30fbcb311bd6d3ed0406b0a2769d189667c7e4b9667893</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Artificial neural networks</topic><topic>Electrodes</topic><topic>Fingers</topic><topic>Gesture recognition</topic><topic>Mathematical model</topic><topic>modeling</topic><topic>Resistance</topic><topic>Resistive touch screens</topic><topic>user interface environments</topic><topic>Voltage measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Calpe-Maravilla, Javier</creatorcontrib><creatorcontrib>Medina, Italo</creatorcontrib><creatorcontrib>Martinez, Maria Jose</creatorcontrib><creatorcontrib>Carbajo, Alberto</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Calpe-Maravilla, Javier</au><au>Medina, Italo</au><au>Martinez, Maria Jose</au><au>Carbajo, Alberto</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Dual touch and gesture recognition in 4-wire resistive touchscreens</atitle><btitle>IEEE SENSORS 2014 Proceedings</btitle><stitle>ICSENS</stitle><date>2014-11</date><risdate>2014</risdate><spage>787</spage><epage>790</epage><pages>787-790</pages><issn>1930-0395</issn><eissn>2168-9229</eissn><eisbn>9781479901623</eisbn><eisbn>1479901628</eisbn><abstract>Enhanced user interface environments is a hot topic in industry. Multi-touch technologies based on projected capacitance are preferred in the consumer market as they provide a more friendly interaction with the user. Also, these technologies allow the tracking of an infinite number of fingers on the touch screen. However, resistive technologies cover applications gaps such as medical, automotive, or environments where wearing gloves is required. Additionally, resistive panels allow the use of basic stylus or pens which is essential for character recognition in Asian languages. Traditionally, resistive technologies have been used to detect the position of a single touch on the screen. The paper will describe how to detect the most common two finger gestures (zooms, pinches, and rotations) using inexpensive 4-wire resistive touch screens and how to detect the true location of dual touch with some modeling and calibration of the screen.</abstract><pub>IEEE</pub><doi>10.1109/ICSENS.2014.6985117</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1930-0395
ispartof IEEE SENSORS 2014 Proceedings, 2014, p.787-790
issn 1930-0395
2168-9229
language eng
recordid cdi_ieee_primary_6985117
source IEEE Xplore All Conference Series
subjects Artificial neural networks
Electrodes
Fingers
Gesture recognition
Mathematical model
modeling
Resistance
Resistive touch screens
user interface environments
Voltage measurement
title Dual touch and gesture recognition in 4-wire resistive touchscreens
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T22%3A32%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Dual%20touch%20and%20gesture%20recognition%20in%204-wire%20resistive%20touchscreens&rft.btitle=IEEE%20SENSORS%202014%20Proceedings&rft.au=Calpe-Maravilla,%20Javier&rft.date=2014-11&rft.spage=787&rft.epage=790&rft.pages=787-790&rft.issn=1930-0395&rft.eissn=2168-9229&rft_id=info:doi/10.1109/ICSENS.2014.6985117&rft.eisbn=9781479901623&rft.eisbn_list=1479901628&rft_dat=%3Cieee_CHZPO%3E6985117%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-3a6553a18d04620e4ea30fbcb311bd6d3ed0406b0a2769d189667c7e4b9667893%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6985117&rfr_iscdi=true