What is it about?

It shows the performance analysis of various machine learning algorithms.

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Why is it important?

Human Activity Recognition (HAR) is one of the significant parameter of assisted living systems. By finding the activity of the inhabitant in the smart environment, the system can learn the behavior of the person. This is important in order to provide services to elderly.


The medical and human resources are spent mostly on the aged population. These confined resources need to preserve for needier like children. The practical assisted living can resolve the problem by extending the required services using technology, thus eliminating personal assistance. The work explains the importance of conventional machine learning and deep learning algorithms in Ambient Assisted Living (AAL).

Dr. Ashish D Patel
Shri Sad Vidya Mandal Institute of Technology

Read the Original

This page is a summary of: Performance Analysis of Supervised Machine Learning Algorithms to Recognize Human Activity in Ambient Assisted Living Environment, December 2019, Institute of Electrical & Electronics Engineers (IEEE), DOI: 10.1109/indicon47234.2019.9030353.
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