2026-04-14T18:27:19Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/821622026-04-08T06:08:37Zcom_10324_1191com_10324_931com_10324_894col_10324_1379

Saoudi, Hichem Antón Rodríguez, Miriam De la Calle, Beatriz Simón Martínez, Cristina González Ortega, David Martínez Zarzuela, Mario 2026-01-26T13:44:09Z 2026-01-26T13:44:09Z 2025 9999-01-01 Gait & Posture, 2025, Vol., 121 Supl., pp. 216-217 0966-6362 https://uvadoc.uva.es/handle/10324/82162 10.1016/j.gaitpost.2025.07.233 216 217 Gait & Posture 121 Producción Científica 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. This research was partially funded by the Ministry of Science and Innovation of Spain under research grant “Rehabot: Smart assistant to complement and assess the physical rehabilitation of children with cerebral palsy in their natural environment”, with code 124515OA-100, and the Gerencia Regional de Salud de Castilla y León under research grant "Terapia personalizada guiada con chatbot en domicilio post-tratamiento para la espasticidad en pacientes con ictus y parálisis cerebral y valoración con electromiografía superficial, visión artificial y sensores vestibles”, with code GRS 3159/A1/2024. application/pdf eng Elsevier info:eu-repo/semantics/embargoedAccess RehaBot: enhancing cerebral palsy rehabilitation with a chatbot and assessment of video-based activity recognition info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S0966636225004898 SI