Survey on Soft Computing Approaches for Human Activity Recognition
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 2, February 2017

Survey on Soft Computing Approaches for Human Activity Recognition

Manisha V. Kharat, K. H. Walse, Dr. R. V. Dharaskar

Human activity recognition is intrinsic area of exploration just because of its real worlds applications. The sensors included smart phones are used to recognize activity. Mobile phone provides small size, CPU, Memory and Battery. A detailed survey of Design classifier for human activity recognition systems by using soft computing techniques are discussed in this report. Also various classifiers are discussing in this survey. Describe supervised and unsupervised learning. Also describe various types of classifiers in this paper.

Keywords: HAR, Classification, clustering, Machine learning

Edition: Volume 6 Issue 2, February 2017

Pages: 1328 - 1334

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How to Cite this Article?

Manisha V. Kharat, K. H. Walse, Dr. R. V. Dharaskar, "Survey on Soft Computing Approaches for Human Activity Recognition ", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART2017792, Volume 6 Issue 2, February 2017, 1328 - 1334

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