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AI based fall management services: the role of the i-Walker in I-DONTFALL
Cortés García, Claudio Ulises; Martínez Velasco, Antonio Benito; Barrué Subirana, Cristian; Annicchiarico, Roberta
Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic; Universitat Politècnica de Catalunya. GRINS - Robòtica Intel·ligent i Sistemes
Falls are a major international public health challenge because of the myriad effects on older individuals: direct physical and psychological injury; fear of falling and activity limitation; reduced social participation and quality of life; increased dependence; and because of the economic impact on health and social care providers. In nowadays ageing society, many people require assistance for safe pedestrian mobility. In some cases, assistive devices require a certain degree of autonomy when the persons’ disabilities difficult manual control. Our aim is to develop an open and innovative reference architecture, based upon ontologies and agent services, that will allow plug and play and cost-effective interconnection of existing and new services in all domains required for the independent and autonomous living of the elderly and their enhanced Quality of Life (QoL).
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Self-help devices for people with disabilities
Handicapped persons
Artificial intelligence
Ajuts tecnològics per als discapacitats
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Springer
         

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