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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Research on an Improved Fall Detection Algorithm for Elder People
verfasst von : Qi Luo
Erschienen in: Intelligent Human Systems Integration
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Abstract
As the proportion of old people of our society grows bigger, the movement safety of old people has become a social problem. For the old people who suffer from harmful falling, one of the best steps he can take is ensuring that reliable and immediate help is available to reach him at all times. So, it is very important to set up a perfect fall detection system that can monitor the daily movement of old people with falling potential. The fall detection algorithm is the key part of fall detection system for old people. To solve the existing problems, an improved fall detection algorithm for old people base on support vector machine was proposed in the paper. Through experimental verification and comparative analysis, we found that the proposed algorithm has better performance than other researcher’s fall detection algorithm.