This repository contains code that proposes a novel computing-efficient algorithm for real-time activity recognition using a single accelerometer.
For questions or further information please contact Pejman Ghorbanzade.
If you found this repository useful, please cite the following paper:
Pejman Ghorbanzade, Ali Khaleghi, and Ilangko Balasingham, "A Computing-Efficient Algorithm for Accelerometer-Based Real-Time Activity Recognition Systems", 8th International Conference on Body Area Networks, 2013.