1. Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
2. Oresti Banos , Rafael Garcia , Juan A. Holgado-Terriza , Miguel Damas , Hector Pomares , Ignacio Rojas , Alejandro Saez , and Claudia Villalonga . 2014. mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications . In Ambient Assisted Living and Daily Activities(Lecture Notes in Computer Science), Leandro Pecchia, Liming Luke Chen, Chris Nugent, and José Bravo (Eds.) . Springer International Publishing , Cham , 91–98. https://doi.org/10.1007/978-3-319-13105-4_14 10.1007/978-3-319-13105-4_14 Oresti Banos, Rafael Garcia, Juan A. Holgado-Terriza, Miguel Damas, Hector Pomares, Ignacio Rojas, Alejandro Saez, and Claudia Villalonga. 2014. mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications. In Ambient Assisted Living and Daily Activities(Lecture Notes in Computer Science), Leandro Pecchia, Liming Luke Chen, Chris Nugent, and José Bravo (Eds.). Springer International Publishing, Cham, 91–98. https://doi.org/10.1007/978-3-319-13105-4_14
3. Ling Bao and Stephen S. Intille . 2004. Activity Recognition from User-Annotated Acceleration Data . In Pervasive Computing(Lecture Notes in Computer Science) , Alois Ferscha and Friedemann Mattern (Eds.). Springer , Berlin, Heidelberg , 1–17. https://doi.org/10.1007/978-3-540-24646-6_1 10.1007/978-3-540-24646-6_1 Ling Bao and Stephen S. Intille. 2004. Activity Recognition from User-Annotated Acceleration Data. In Pervasive Computing(Lecture Notes in Computer Science), Alois Ferscha and Friedemann Mattern (Eds.). Springer, Berlin, Heidelberg, 1–17. https://doi.org/10.1007/978-3-540-24646-6_1
4. Analysis of human behavior recognition algorithms based on acceleration data
5. A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition