Development of an intelligent ergonomic model for Hazards predictions in Domestic Tasks

Abstract

Abstract Behavioural pattern is linked to many home accidents among occupants which have caused many injuries to life and properties. This study considered the categories and prevalence of risks among women in domestic tasks. A model was developed to predict the safety level of the subjects using Artificial Neural Network (ANN) function. With the use of a structured questionnaire, the study was conducted among 169 unmarried and 171 married women and the data was analysis with SPSS software. The ANN function was developed using the participants’ conducts in performing house chore duties, as the input. The “level of safety” was the output of the system. To test for its functionality, the ANN system was applied to predict safety in the performance of regular domestic duties among some women in the study area. The prediction accuracy of the system met with the objectives of the study. Among the widely reported, 40% of the participants suffered from ‘Cuts injury’ and while 35.6% complained of ‘contact with hot objects’. The developed ANN system is useful in homes where women are deeply engaged in domestic work.