67
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Characterization of human motion by the use of an accelerometer-based detection system

&

References

  • Liu, L.; Peng, Y.; Liu, M.; Huang, Z. Sensor-Based Human Activity Recognition System with a Multilayered Model Using Time Series Shapelets. Knowl. Based Syst. 2015, 90, 138–152. DOI: 10.1016/j.knosys.2015.09.024.
  • Aggarwal, J. K.; Xia, L. Human Activity Recognition from 3D Data: A Review. Pattern Recogn. Lett. 2014, 48, 70–80. DOI: 10.1016/j.patrec.2014.04.011.
  • Ronao, C. A.; Cho, S. B. Human Activity Recognition with Smartphone Sensors Using Deep Learning Neural Networks. Expert Syst. Appl. 2016, 59, 235–244. DOI: 10.1016/j.eswa.2016.04.032.
  • Ortiz, J. L. R. Smartphone-Based Human Activity Recognition. Springer Theses 2014, 25, 3103–3106. DOI: 10.1007/978-3-319-14274-6.
  • Bulling, A.; Blanke, U.; Schiele, B. A Tutorial on Human Activity Recognition Using Body-Worn Inertial Sensors. ACM Comput. Surv. 2014, 46, 1–33. DOI: 10.1145/2499621.
  • Reyes-Ortiz, J.-L.; Oneto, L.; Samà, A.; Parra, X.; Anguita, D. Transition-Aware Human Activity Recognition Using Smartphones. Neurocomputing 2016, 171, 754–767. DOI: 10.1016/j.neucom.2015.07.08.
  • Shoaib, M.; Bosch, S.; Incel, O. D.; Scholten, H.; Havinga, P. Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors. Sensors (Basel) 2016, 16, 426. DOI: 10.3390/s16040426.
  • Jalal, A.; Kamal, S.; Kim, D. A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments. Sensors (Basel) 2014, 14, 11735–11759. DOI: 10.3390/s140711735.
  • Gao, L.; Li, J.; Khodadadzadeh, M.; Plaza, A.; Zhagn, B.; He, Z.; Yan, H. Subspace-Based Support Vector Machines for Hyperspectral Image Classification. IEEE Geosci. Remote Sens. Lett. 2015, 12, 349–353. DOI: 10.1109/LGRS.2014.2341044.
  • Datta, S.; Das, S. Near-Bayesian Support Vector Machines for Imbalanced Data Classification with Equal or Unequal Misclassification Costs. Neural Netw. 2015, 70, 39–52. DOI: 10.1016/j.neunet.2015.06.005.
  • Shen, L.; Chen, H.; Yu, Z.; Kang, W.; Zhang, B.; Li, H.; Yang, B.; Liu, D. Evolving Support Vector Machines Using Fruit Fly Optimization for Medical Data Classification. Knowl. Based Syst. 2016, 96, 61–75. DOI: 10.1016/j.knosys.2016.01.002.
  • Seo, Y.; Choi, Y.; Choi, J. River Stage Modeling by Combining Maximal Overlap Discrete Wavelet Transform, Support Vector Machines and Genetic Algorithm. Water 2017, 9, 525. DOI: 10.3390/w9070525.
  • Ma, Y. L.; Ding, X. H.; She, Q. S.; Luo, Z. Z.; Potter, T.; Zhang, Y. C. Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization. Comput. Math. Method. Med. 2016, 2016, 1–8. DOI: 10.1155/2016/4941235.
  • Ding, S.; Hang, J.; Wei, B.; Wang, Q. J. Modelling of Supercapacitors Based on SVM and PSO Algorithms. IET Electr. Power Appl. 2018, 12, 502–507. DOI: 10.1049/iet-epa.2017.0367.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.