Robust human activity recognition using lesser number of wearable sensors

• Main Authors: WANG, Di, CANDINEGARA, Edwin, HOU, Junhui, TAN, Ah-hwee, MIAO, Chunyan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: activity recognition; PAMAP2 dataset; wearable sensor; support vector machine; random forest; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5468; https://ink.library.smu.edu.sg/context/sis_research/article/6471/viewcontent/SPAC2017AR.pdf
• Institution: Singapore Management University

In recent years, research on the recognition of human physical activities solely using wearable sensors has received more and more attention. Compared to other types of sensory devices such as surveillance cameras, wearable sensors are preferred in most activity recognition applications mainly due t...