<?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>2026-04-14T17:45:07Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/82162" metadataPrefix="rdf">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/82162</identifier><datestamp>2026-04-08T06:08:37Z</datestamp><setSpec>com_10324_1191</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1379</setSpec></header><metadata><rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
<ow:Publication rdf:about="oai:uvadoc.uva.es:10324/82162">
<dc:title>RehaBot: enhancing cerebral palsy rehabilitation with a chatbot and assessment of video-based activity recognition</dc:title>
<dc:creator>Saoudi, Hichem</dc:creator>
<dc:creator>Antón Rodríguez, Miriam</dc:creator>
<dc:creator>De la Calle, Beatriz</dc:creator>
<dc:creator>Simón Martínez, Cristina</dc:creator>
<dc:creator>González Ortega, David</dc:creator>
<dc:creator>Martínez Zarzuela, Mario</dc:creator>
<dc:description>Producción Científica</dc:description>
<dc:description>Cerebral Palsy (CP) is a major cause of physical disability in childhood, with physical rehabilitation crucial for improving function. Telerehabilitation is increasingly important, driven by the growth of ICT and the COVID-19 pandemic. Chatbots offer a promising way to support home-based therapies and improve patient adherence. RehaBot, a chatbot-based system, was developed to provide this support. Future versions aim to integrate automated activity recognition to enhance the platform.</dc:description>
<dc:date>2026-01-26T13:44:09Z</dc:date>
<dc:date>2026-01-26T13:44:09Z</dc:date>
<dc:date>2025</dc:date>
<dc:date>9999-01-01</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>Gait &amp; Posture, 2025, Vol., 121 Supl.,  pp.  216-217</dc:identifier>
<dc:identifier>0966-6362</dc:identifier>
<dc:identifier>https://uvadoc.uva.es/handle/10324/82162</dc:identifier>
<dc:identifier>10.1016/j.gaitpost.2025.07.233</dc:identifier>
<dc:identifier>216</dc:identifier>
<dc:identifier>217</dc:identifier>
<dc:identifier>Gait &amp; Posture</dc:identifier>
<dc:identifier>121</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>https://www.sciencedirect.com/science/article/pii/S0966636225004898</dc:relation>
<dc:rights>info:eu-repo/semantics/embargoedAccess</dc:rights>
<dc:publisher>Elsevier</dc:publisher>
<dc:peerreviewed>SI</dc:peerreviewed>
</ow:Publication>
</rdf:RDF></metadata></record></GetRecord></OAI-PMH>