Skip to Main content Skip to Navigation
Conference papers

An Iris based Smart System for Stress Identification

Abstract : The critical stress problem is a crucial issue that needs considerations and requires a solution. A number of methods are used to identify and control the stress which includes different counseling programs and medication. But the diagnosis and identification of the stress and its levels is an important issue which does not have an on-time and accurate solution. Therefore, a non-invasive stress identification system is required that can identify stress and it's level. In this work, we have proposed and developed a non-invasive smart system for stress identification (SSSI). The SSSI takes human iris image and applies machine learning techniques to identify the level of stress based on the iridology map. While testing with 50 subjects having stress, the results confirm that the SSSI identifies the stress with an accuracy of 98%.
Document type :
Conference papers
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03675943
Contributor : Kathleen TORCK Connect in order to contact the contributor
Submitted on : Monday, May 23, 2022 - 2:55:09 PM
Last modification on : Tuesday, May 24, 2022 - 3:43:08 AM

Identifiers

Collections

Citation

Amna Haider, Tassadaq Hussain, Areeb Agha, Bilal Khan, Fawad Rashid, et al.. An Iris based Smart System for Stress Identification. 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019, Jul 2019, Swat, Pakistan. pp.1-5, ⟨10.1109/ICECCE47252.2019.8940707⟩. ⟨hal-03675943⟩

Share

Metrics

Record views

4