Deep Learning for Smartphone-Based Human Activity Recognition Using Multi-sensor Fusion
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-06158-6_7
Reference12 articles.
1. Zhang, Y., Markovic, S., Sapir, I., Wagenaar, R.C., Little, T.D.: Continuous functional activity monitoring based on wearable tri-axial accelerometer and gyroscope. In: 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, Pervasive Health 2011, pp. 370–373 (2011). https://doi.org/10.4108/icst.pervasivehealth.2011.245966
2. Yamansavascilar, B., Amac Guvensan, M.: Activity recognition on smartphones: efficient sampling rates and window sizes, 1–6 (2016). https://doi.org/10.1109/percomw.2016.7457154
3. Altini, M., Penders, J., Amft, O.: Energy expenditure estimation using wearable sensors: a new methodology for activity-specific models. In: Proceedings—Wireless Health 2012, WH 2012 (2012). https://doi.org/10.1145/2448096.2448097
4. Rashidi, P., Mihailidis, A.: A survey for ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inform. 17(3) (2013)
5. Khan, A.M., Tufail, A., Khattak, A.M., Laine, T.H.: Activity recognition on smartphones via sensor-fusion and KDA-based SVMs. Int. J. Distrib. Sens. Netw. 1–14 (2014). https://doi.org/10.1155/2014/503291
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