Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals

Documenti analoghi

• Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks
  di: Nazari, Farhad, et al.
  Pubblicazione: (2024)
• Comparison of gait phase detection using traditional machine learning and deep learning techniques
  di: Nazari, Farhad, et al.
  Pubblicazione: (2024)
• Label Leakage in Federated Inertial-based Human Activity Recognition
  di: Bock, Marius, et al.
  Pubblicazione: (2025)
• A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration
  di: Memar, Maryam Ostadsharif, et al.
  Pubblicazione: (2024)
• MMA: A Momentum Mamba Architecture for Human Activity Recognition with Inertial Sensors
  di: Nguyen, Thai-Khanh, et al.
  Pubblicazione: (2025)