The dataset comprises recordings of seven activities that were captured using Raspberry Pi (RPi) devices. Each activity was captured using 64 subcarriers, which refer to specific frequency components within the wireless signal. The dataset includes 300 packets, representing multiple instances of each activity.
Steps to reproduce
The RPi devices equipped with appropriate firmware such as Nexmon to collect the wireless signals associated with the activities. These signals were then processed to extract the necessary features for activity recognition.
Ministry of Higher Education, Malaysia
Universiti Teknikal Malaysia Melaka