Survey on Soft Computing Approaches for Human Activity Recognition
Abstract: 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
How to Cite?: Manisha V. Kharat, K. H. Walse, Dr. R. V. Dharaskar, "Survey on Soft Computing Approaches for Human Activity Recognition ", Volume 6 Issue 2, February 2017, International Journal of Science and Research (IJSR), Pages: 1328-1334, https://www.ijsr.net/getabstract.php?paperid=ART2017792, DOI: https://dx.doi.org/10.21275/ART2017792