GCHAR: An efficient Group-based Context—aware human activity recognition on smartphone

Author:

Cao Liang,Wang Yufeng,Zhang Bo,Jin Qun,Vasilakos Athanasios V.

Funder

NSFC

JiangSu Educational Bureau Project

Prospective Research Project on Future Networks (JiangSu Future Networks Innovation Institute)

Huawei Innovation Research Program

NUPTSF

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference49 articles.

1. Activity recognition system using inbuilt sensors of smart mobile phone and minimizing feature vectors;Acharjee;Microsyst. Technol.,2016

2. Mobile Health: A Technology Road Map,2015

3. V.W. Ajin, D.K. Lekshmy, Big data and clustering algorithms, in: Proceedings of 2016 International Conference on Research Advances in Integrated Navigation Systems (RAINS), Bangalore, India, April 06–07, 2016.

4. D. Anguita, A. Ghio, L. Oneto, X. Parra, J.L. Reyes-Ortiz, A public domain dataset for HAR using smartphones, in: Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Italy, 24–26 April 2013.

5. A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition;Ayu;Procedia Eng.,2012

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