1. Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine;Anguita,2012
2. A public domain dataset for human activity recognition using smartphones;Anguita,2013
3. Activity recognition from user-annotated acceleration data;Bao,2004
4. Bengio, Y. (2012). Practical recommendations for gradient-based training of deep architectures. arXiv:1206.5533v2.
5. Theano: A CPU and GPU math expression compiler;Bergstra,2010