Distribution-based semi-supervised learning for activity recognition

• Main Authors: Qian, Hangwei, Pan, Sinno Jialin, Miao, Chunyan
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: Wireless-sensor-based; Engineering::Computer science and engineering; Semi-supervised Learning
• Online Access: https://hdl.handle.net/10356/106004; http://hdl.handle.net/10220/49629
• Institution: Nanyang Technological University

Supervised learning methods have been widely applied to activity recognition. The prevalent success of existing methods, however, has two crucial prerequisites: proper feature extraction and sufficient labeled training data. The former is important to differentiate activities, while the latter is cr...