Non-intrusive robust human activity recognition for diverse age groups

• Main Authors: Wang, Di, Tan, Ah-Hwee, Zhang, Daqing
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Activity Recognition; DRNTU::Engineering::Computer science and engineering; Human Activity Recognition
• Online Access: https://hdl.handle.net/10356/89674; http://hdl.handle.net/10220/47044
• Institution: Nanyang Technological University

Many elderly prefer to live independently at their own homes. However, how to use modern technologies to ensure their safety presents vast challenges and opportunities. Being able to non-intrusively sense the activities performed by the elderly definitely has great advantages in various circumstance...