Human Activity Identification Using Novel Feature Extraction and Ensemble-Based Learning for Accuracy
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-19810-7_34
Reference35 articles.
1. Pham, C.: MobiRAR: real-time human activity recognition using mobile devices. In: 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), Ho Chi Minh City, pp. 144–149 (2015)
2. Fortin-Simard, D., Bilodeau, J., Gaboury, S., Bouchard, B., Bouzouane, A.: Human activity recognition in smart homes: combining passive RFID and load signatures of electrical devices. In: 2014 IEEE Symposium on Intelligent Agents (IA), Orlando, FL, pp. 22–29 (2014)
3. Fu, Y.: Human Activity Recognition and Prediction. Springer, Heidelberg (2015)
4. Guesgen, H.W.: Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security: Intelligent Applications for Monitoring and Security. IGI Global, Hershey (2013)
5. Zhang, S., Wei, Z., Nie, J., Huang, L., Wang, S., Li, Z.: A review on human activity recognition using vision-based method. Hindawi J. Healthcare Eng. 2017, 31 (2017)
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