<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-18T08:00:56Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/32897" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/32897</identifier><datestamp>2025-12-25T19:59:07Z</datestamp><setSpec>com_2072_6</setSpec><setSpec>col_2072_452954</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Mobility for the severely disabled: a head-controlled wheelchair</dc:title>
   <dc:creator>Torrente Martí, Guillem</dc:creator>
   <dc:subject>Discapacitats</dc:subject>
   <dc:subject>Ulls -- Moviments</dc:subject>
   <dc:subject>Wheelchair</dc:subject>
   <dc:subject>Hands-free navigation</dc:subject>
   <dc:subject>Eye-tracking</dc:subject>
   <dc:subject>Head-tracking</dc:subject>
   <dc:description>Treball de fi de grau en Biomèdica</dc:description>
   <dc:description>Tutors: Mario Ceresa i Yiannis Demiris</dc:description>
   <dc:description>Today, there are approximately 75 million wheelchair users worldwide. From&#xd;
this collective, there is a percentage of people, the severely disabled, whose motor&#xd;
capabilities below the neck are damaged, and despite the fact that they are&#xd;
also wheelchair users, they can’t really move it their own. Even though research&#xd;
has been attempting to bring a reliable hands-free control for them for nearly two&#xd;
decades, still no commercial models exist, as no system has proven to be reliable&#xd;
enough for a real environment situation. In this thesis, I study the most successful&#xd;
remote control modalities so far involving head and eye tracking, and develop&#xd;
from scratch a collection of 3 enhanced navigation systems inspired from the best&#xd;
of each. These three systems allow to successfully control a powered wheelchair&#xd;
using exclusively the head via IMU sensors, the eyes via a head-mounted eyetracker,&#xd;
and a combination of both. Finally, I test the first two systems on myself&#xd;
and also on different healthy people to contrast their performance with respect to&#xd;
the standard joystick navigation. From the results collected, I propose future improvements&#xd;
that could step up level of these hands-free controllers to the market&#xd;
level.</dc:description>
   <dc:date>2017-10-10T11:10:10Z</dc:date>
   <dc:date>2017-10-10T11:10:10Z</dc:date>
   <dc:date>2017-10-10</dc:date>
   <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
   <dc:identifier>http://hdl.handle.net/10230/32897</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>Atribución-NoComercial-SinDerivadas 3.0 España</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>