참고문헌
- W. Liu, X. Li & D. Huang. (2011). A survey on context awareness. CSSS '11, 144-147. DOI: 10.1109/CSSS.2011.5972040
- C. L. Y. Siang, G. W. Shin, Y. M. Kim & M. H. Yun. (2018). Human Activity Recognition using Deep Neural Network. Proceeding of HCI Korea 2018, 716-720.
- M. Fahim, I. Fatima, S. Lee & Y. T. Park. (2013). Efm: evolutionary fuzzy model for dynamic activities recognition using a smartphone accelerometer. Applied Intelligence, 39(3), 1-14. DOI: 10.1007/s10489-013-0427-7
- O. D. Lara & M. A. Labrador. (2012). A mobile platform for real time human activity recognition. CCNC '12, 667-671. DOI: 10.1109/CCNC.2012.6181018
- H. Lu, W. Pan, N. D. Lane, T. Choudhury & A. T. Campbell. (2009). SoundSense: Scalable sound sensing for people-centric applications on mobile phones. MobiSys '09, 165-178. DOI: 10.1145/1555816.1555834
- L. Liao, D. Fox & H. Kautz. (2007). Extracting places and activities from GPS traces using hierarchical conditional random fields. International Journal of Robotics Research, 26(1), 119-134. https://doi.org/10.1177/0278364907073775
- A. Thiagarajan, J. Biagioni, T. Gerlich & J. Eriksson. (2010). Cooperative transit tracking using smart-phones. SenSys '10, 85-98. DOI: 10.1145/1869983.1869993
- M. Han, L. T. Vinh, Y. K. Lee & S. Lee. (2012). Comprehensive context recognizer based on multimodal sensors in a smartphone. Sensors, 12(9), 12588-12605. https://doi.org/10.3390/s120912588
- Y. E. Ustev, O. D. Incel & C. Ersoy. (2013). User, device and orientation independent human activity recognition on mobile phones: challenges and a proposal. ESSANN 2013, 1427-1436. DOI: 10.1145/2494091.2496039
- D. Anguita, A. Ghio, L. Oneto, X. Parra & J. L. Reyes-Ortiz. (2013). A Public Domain Dataset for Human Activity Recognition using Smartphones. In ESANN 2013.
- A. M. Khan, M. H. Siddiqi & S. W. Lee. (2013). Exploratory data analysis of acceleration signals to select light-weight and accurate features for real-time activity recognition on smartphones. Sensors, 13(10), 13099-13122. DOI: 10.3390/s131013099
- O. Lara & M. Labrador. (2013). A survey on human activity recognition using wearable sensors. IEEE Communications Surveys Tutorials, 15(3), 1192-1209. DOI: 10.1109/SURV.2012.110112.00192
- E. H. Shin & N. El-Sheimy. (2002). A new calibration method for strapdown inertial navigation systems. Dieser Beitragist in der zfv 1/2002 erschienen, 41-50.
- Google. (2020). Android SensorEvent: Isolating the Force of Gravity Using a Low-Pass Filter. Develops [Online]. developer.android.com/reference/android/hardware/SensorEvent.html/
- O. Banos, J. M. Galvez, M. Damas, H. Pomares & I. Rojas. (2014). Window size impact in human activity recognition. Sensors, 14(4), 6474-6499. DOI: 10.3390/s140406474
- A. S. Greg Milette. (2012). Professional Android Sensor Programming. New York : John Wiley & Sons.
- D. Figo, P. C. Diniz, D. R. Fereira & J. M. P. Cardoso. (2010). Preprocesing techniques for context recognition from acelerometer data. Personal and Ubiquitous Computing, 14(7), 645-662. DOI: 10.1007/s00779-010-0293-9
- S. Mika, G. Ratsch, J. Weston, B. Scholkop & K. R. Muller. (1999). Fisher discriminant analysis with kernels. NNSP '99, 41-48. DOI: 10.1109/NNSP.1999.788121
- G. Baudat & F. Anouar. (2000). Generalized discriminant analysis using a kernel approach. Neural Computation, 12(10), 2385-2404. DOI: 10.1162/089976600300014980
- C. W. Hsu, C. C. Chang & C. J. Lin. (2016). A practical guide to support vector classification. CiteSeerX [Online]. www.csie.ntu.edu.tw/-cjlin/papers/guide/guide.pdf
- G. Hackeling. (2017). Mastering Machine Learning with Scikit-learn. Birmingham : Packt Publishing.
- J. G. Cho. (2020). A location localization method using Smartphone sensor on a subway. Journal of the Korea Convergence Society, 11(3), 37-43. DOI : 10.15207/JKCS.2020.11.3.037
- D. Khongorzul, S. M. Lee & M. H. Kim. (2019). OrdinalEncoder based DNN for Natural Gas Leak Prediction. Journal of the Korea Convergence Society, 10(10), 7-13. DOI : 10.15207/JKCS.2019.10.10.007