Díaz Jiménez, DavidLópez Ruiz, José LuisGonzález Lama, JesúsEspinilla, Macarena2023-12-262023-12-262024-01-03978-0-9981331-7-189d13029-6ba8-4c6f-8b0b-54ca6b0dc1c1https://hdl.handle.net/10125/106600engAttribution-NonCommercial-NoDerivatives 4.0 InternationalSoft Computing: Theory Innovations and Problem-Solving Benefitsdiabeteshuman activity recognitionlinguistic protoformsMethodology based on linguistic protoforms for activity detection in patients with type 2 diabetes mellitusConference Paper10.24251/HICSS.2023.222