Tracking and behavior augmented activity recognition for multiple inhabitants

• Main Authors: UL ALAM, Mohammad Arif, ROY, Nirmalya, MISRA, Archan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Multiple inhabitants; multi-modal sensing; scalable activity recognition; tracking; Numerical Analysis and Scientific Computing; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6907
• Institution: Singapore Management University

We develop CACE (Constraints And Correlations mining Engine), a framework that significantly improves the recognition accuracy of complex daily activities in multi-inhabitant smarthomes. CACE views the implicit relationships between the activities of multiple people as an asset, and exploits such co...