Building generalizable deep learning solutions for mobile sensing

• Main Author: Xu, Huatao
• Other Authors: Mo Li
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Mobile sensing, IMU; IMU; Human activity recognition; Large language models; Penetrative AI
• Online Access: https://hdl.handle.net/10356/174809
• Institution: Nanyang Technological University

In an era where embedded and mobile devices are becoming ubiquitous, the intersection of Artificial Intelligence and the Internet of Things (AIoT) is rapidly transforming various fields. This thesis delves into the challenges and innovations in this domain, particularly focusing on the development o...