1. Anguita D, Ghio A, Oneto L, Parra Perez X, Reyes Ortiz JL (2013) A public domain dataset for human activity recognition using smartphones. In: Proceedings of the 21th international European symposium on artificial neural networks, computational intelligence and machine learning, pp 437–442
2. Banos O, Garcia R, Holgado-Terriza JA, Damas M, Pomares H, Rojas I, Saez A, Villalonga C (2014) mHealthDroid: a novel framework for agile development of mobile health applications. In: Pecchia L, Chen LL, Nugent C, Bravo J (eds) Ambient assisted living and daily activities. Springer International Publishing, Cham, pp 91–98
3. Bartlett J, Prabhu V, Whaley J (2017) Acctionnet: a dataset of human activity recognition using on-phone motion sensors. In: Proceedings of the 34th international conference on machine learning, Sydney, Australia
4. Breiman L (2017) Classification and regression trees. Routledge
5. Chereshnev R, Kertész-Farkas A (2017) HuGaDB: human gait database for activity recognition from wearable inertial sensor networks. In: International conference on analysis of images, social networks and texts. Springer, pp 131–141