Progressive sequence matching for ADL plan recommendation

• Main Authors: Gao, Shan, Wang, Di, Tan, Ah-Hwee, Miao, Chunyan
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Sequence Matching; DRNTU::Engineering::Computer science and engineering; Active Lifestyles
• Online Access: https://hdl.handle.net/10356/89671; http://hdl.handle.net/10220/47043
• Institution: 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 (...