Scaling human activity recognition via deep learning-based domain adaptation

• Main Authors: KHAN, Md Abdullah Hafiz, ROY, Nirmalya, MISRA, Archan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Data Storage Systems; OS and Networks; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/3977; https://ink.library.smu.edu.sg/context/sis_research/article/4979/viewcontent/1570401905_CameraReady.pdf
• Institution: Singapore Management University

We investigate the problem of making human activityrecognition (AR) scalable–i.e., allowing AR classifiers trainedin one context to be readily adapted to a different contextualdomain. This is important because AR technologies can achievehigh accuracy if the classifiers are trained for a specific ind...