Human activity recognition with smartphone-integrated sensors: A survey

Author:

Dentamaro VincenzoORCID,Gattulli VincenzoORCID,Impedovo DonatoORCID,Manca FabioORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference87 articles.

1. Abdull Sukor, A. S., Zakaria, A., & Abdul Rahim, N. (2018). Activity recognition using accelerometer sensor and machine learning classifiers. In Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and Its Application, 233-238. doi:10.1109/CSPA.2018.8368718.

2. Acampora, G., Foggia, P., Saggese, A., & Vento, M. (2012). Combining neural networks and fuzzy systems for human behavior understanding. In Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, 88-93. doi:10.1109/AVSS.2012.25.

3. Smartphone-based construction workers’ activity recognition and classification;Akhavian;Automation in Construction,2016

4. A robust deep learning approach for position-independent smartphone-based human activity recognition;Almaslukh;Sensors,2018

5. Anguita, D., Ghio, A., Oneto, L., P. X., & Reyes-Ortiz, J. L. (2013). A Public Domain Dataset for Human Activity Recognition Using Smartphones. In Proceedings of the 21th International European Symposium on Artificial Neural Networks, 437- 442. Tratto da http://www.i6doc.com/en/livre/?GCOI=28001100131010.

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