Spatial-temporal episodic memory modeling for ADLs: Encoding, retrieval, and prediction

• Main Authors: SONG, Xinjing, WANG, Di, Quek, Chai, TAN, Ah-hwee, Wang, Yanjiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Spatial-temporal episodic memory; Encoding and retrieval; ADL retrieval; Subsequent event prediction; Databases and Information Systems; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/8472; https://ink.library.smu.edu.sg/context/sis_research/article/9475/viewcontent/Spatial_temporal_episodic_memory_modeling_for_ADLs__encoding__retrieval__and_prediction.pdf
• Institution: Singapore Management University

Activities of daily living (ADLs) relate to people’s daily self-care activities, which reflect their living habits and lifestyle. A prior study presented a neural network model called STADLART for ADL routine learning. In this paper, we propose a cognitive model named Spatial-Temporal Episodic Memor...