Advanced Impact Measurement Method of the Head Using Piezoelectric Sensors

Huda Alnuaimi, Malik Mohamed Umar, Qurban A. Memon, Mahmoud Al Ahmad

Research output: Contribution to journalArticlepeer-review

Abstract

Safety measures for people are always important because they make it much less likely that something bad will happen. Every part of the human body is vulnerable to injury and damage, but head injuries can lead to life-changing debilitations, where the human head is the control signaling part for the entire body. The brain does not store thoughts and memories like a machine saves files, where only a single hit or a fall can erase those memories. The proposed method, in this article, is employed to predict the injured part of the head. It is predicted by peak values and duration of the impact. The novelty of this article is in the simple four-channel piezoelectric sensors employed to predict the impact on the head by using a certain placement of sensors to cover the head. Initially, the method has been tested with a plastic human head to measure the impact and duration by using sudden force applied to sensors placed in six different positions on the plastic head as a prototype model. The flexible robust statistics data analysis (FSDA) toolbox is used to analyze and validate the results.

Original languageEnglish
Pages (from-to)24570-24580
Number of pages11
JournalIEEE Sensors Journal
Volume24
Issue number15
DOIs
Publication statusPublished - 2024

Keywords

  • Flexible robust statistics data analysis (FSDA)
  • impact measurement
  • multiple regression model
  • piezoelectric sensors

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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