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arXiv · 1510.05577

Application of Machine Learning Techniques in Human Activity Recognition

Jitenkumar Babubhai Rana·Rashmi Shetty·Tanya Jha
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Abstract

Human activity detection has seen a tremendous growth in the last decade playing a major role in the field of pervasive computing. This emerging popularity can be attributed to its myriad of real-life applications primarily dealing with human-centric problems like healthcare and elder care. Many research attempts with data mining and machine learning techniques have been undergoing to accurately detect human activities for e-health systems. This paper reviews some of the predictive data mining algorithms and compares the accuracy and performances of these models. A discussion on the future research directions is subsequently offered.

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Jitenkumar Babubhai Rana, Rashmi Shetty, Tanya Jha. 2015-10-19. Application of Machine Learning Techniques in Human Activity Recognition. https://arxiv.org/abs/1510.05577

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