Author:
Widhalm Peter,Leodolter Maximilian,Brändle Norbert
Publisher
Springer International Publishing
Reference16 articles.
1. Bohte W, Maat K, Quak W (2008) A method for deriving trip destinations and modes for GPS-based travel surveys. Res. Urbanism Ser. 1(1):127–143
2. Ciliberto M, Morales FJO, Gjoreski H, Roggen D, Mekki S, Valentin S (2017) High reliability android application for multidevice multimodal mobile data acquisition and annotation. In: Proceedings of the 15th ACM conference on embedded network sensor systems, p. 62. ACM
3. Ghosh A, Riccardi G (2014) Recognizing human activities from smartphone sensor signals. In: Proceedings of the 22nd ACM international conference on Multimedia, pp 865–868. ACM (2014)
4. Gjoreski H, Ciliberto M, Wang L, Morales FJO, Mekki S, Valentin S, Roggen D (2018) The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices. IEEE Access.
https://doi.org/10.1109/ACCESS.2018.2858933
5. Harding C, Srikukenthiran S, Zhang Z, Habib KN, Miller E (2017) On the user experience and performance of smartphone apps as personalized travel survey instruments: results from an experiment in Toronto. In: The paper presented at the 11th international conference on transport survey methods, Quebec
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Context-aware incremental learning-based method for personalized human activity recognition;Journal of Ambient Intelligence and Humanized Computing;2021-01-02
2. Tackling the SHL recognition challenge with phone position detection and nearest neighbour smoothing;Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers;2020-09-10