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<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:date>2025</dc:date>
<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>
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<dc:language>eng</dc:language>
<dc:publisher>Elsevier</dc:publisher>
<dc:title>RehaBot: enhancing cerebral palsy rehabilitation with a chatbot and assessment of video-based activity recognition</dc:title>
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