Open access
Jul 2026
Human activity recognition using CNN–BiLSTM with attention on hip-mounted wearable sensors
A deep learning–based HAR framework utilizing hip-mounted accelerometer and gyroscope signals from the USC-HAD dataset, which contains readings from healthy participants only, is evaluated, providing a more realistic assessment of subject-independent generalization across unseen individuals.
F. Naveed, Hamza Khan, Zaki Uddin et al.
· Scientific Reports · 0 citations