Few-shot learning in Wi-Fi-based indoor positioning

• Main Authors: Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Few-shot learning; Indoor positioning
• Online Access: https://hdl.handle.net/10356/181449
• Institution: Nanyang Technological University

This paper explores the use of few-shot learning in Wi-Fi-based indoor positioning, utilizing convolutional neural networks (CNNs) combined with meta-learning techniques to enhance the accuracy and efficiency of positioning systems. The focus is on addressing the challenge of limited labeled data, a...