Research on human health status recognition based on association algorithm Online publication date: Tue, 17-Oct-2023
by Taiping Jiang; Zhibing Wang; Lei Huang
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 27, No. 4, 2023
Abstract: A human health status recognition method based on association algorithm is proposed to address the problems of low recognition accuracy, low correlation of health data collection, and long recognition time in existing human health status recognition methods. Firstly, a temperature sensor is used to collect human body temperature data. Secondly, the photoelectric capacitance method is used to collect heart rate and blood oxygen data. Once again, by setting the 3D coordinate system of human bone points and using the depth image coordinate system to determine the true distance of bone points, the collection of human bone related data is achieved. Finally, association algorithms are used to analyse the relationship between human health status data. Once a human health status recognition function is constructed, the recognition of health status is then completed. The test results show that the accuracy of the proposed method for identifying human health status remains around 99%.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining and Bioinformatics (IJDMB):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook