A New CNN Based Fall Detection Method |
Author(s): |
| Nibin Sasidharan. , IES College of Engineering Chittilappilly; Hrudya K.P., IES College of Engineering Chittilappilly |
Keywords: |
| Fall detection, Artificial inelegance, Machine learning, Support vector machine, decision tree, k-means clustering, CNN |
Abstract |
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Nowadays, empty nest problems are becoming more and more severe. In the busy life most of the Seniors are alone In home. in addition, fall is very dangerous for the seniors and may lead to death. Sensors are used for the fall detection. Also fall detection using machine learning algorithm is more accurate and faster. In the upcoming era of Artificial inelegance world to improve the performance of the fall detection implement a CNN model. Major algorithms in machine learning that used in fall detection was support vector machine, decision tree, k-means clustering. CNN provide much more accuracy. |
Other Details |
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Paper ID: IJSRDV8I50180 Published in: Volume : 8, Issue : 5 Publication Date: 01/08/2020 Page(s): 286-290 |
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