Wireless and mobilization and tracking (2) hand gesture recognition using CSI

• Main Author: Argota Timothy John Tee
• Other Authors: Mo Li
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Data
• Online Access: https://hdl.handle.net/10356/148056
• Institution: Nanyang Technological University

The area of hand gesture recognition (HGR) has grown in interest over the recent years. Using different sensing methods such as data gloves, thermal sensors and image recognition, HGR has become a new way for us to interact with electronic devices. Recent research and advancements in Network Interface Cards (NIC) has now enabled us to use Wi-Fi signals as another sensing method for human presence and activity. Wi-Fi packets contain Channel State Information (CSI) which describes how Wi-Fi signals propagate from the transmitter to the receiver. Previous reports have shown how amplitude of CSI may be used to detect motion in the area. This report aims to investigate the phase data of CSI captured from the Wi-Fi signals and perform HGR.