Progressive sequence matching for ADL plan recommendation

• المؤلفون الرئيسيون: Gao, Shan, Wang, Di, Tan, Ah-Hwee, Miao, Chunyan
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2018
• الموضوعات: Sequence Matching; DRNTU::Engineering::Computer science and engineering; Active Lifestyles
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/89671; http://hdl.handle.net/10220/47043
• المؤسسة: Nanyang Technological University

Activities of Daily Living (ADLs) are indicatives of a person's lifestyle. In particular, daily ADL routines closely relate to a person's well-being. With the objective of promoting active lifestyles, this paper presents an agent system that provides recommendations of suitable ADL plans (...