Testing and analysis of the proposed data driven method on the opportunity human activity dataset

• Main Authors: Foudeh, Pouya, Khorshidtalab, Aida, Salim, Naomie
• Format: Conference or Workshop Item
• Published: ASSOCIATION OF COMPUTING MACHINERY (ACM) 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/66903/; http://dx.doi.org/10.1145/3018009.3018011
• Institution: Universiti Teknologi Malaysia

This paper proposes a data-driven method for constructing materials to be used in a probabilistic knowledge base for human activity recognition. The utilized dataset, challenge subset of Opportunity, is a publicly available dataset. It consists of a set of daily activities, which has been manually l...