Muhammad Farhan Khan

Human activity recognition using CNN–BiLSTM with attention on hip-mounted wearable sensors

Fajr Naveed, Hamza Khan, Zaki Uddin, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed

Abstract Human activity recognition (HAR) is the identification of daily human activities using wearable sensor data. In this study, we evaluate a deep learning–based HAR framework utilizing hip-mounted accelerometer and gyroscope signals from the USC-HAD dataset, which contains…Read more