Development of occupant classification and position detection for intelligent safety system

M. A. Hannan, A. Hussain, S. A. Samad, A. Mohamed, D. A. Wahab, A. K. Ariffin

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Occupant classification and position detection have been significant research areas in intelligent safety systems in the automotive field. The detection and classification of seat occupancy open up new ways to control the safety system. This paper deals with a novel algorithm development, hardware implementation and testing of a prototype intelligent safety system for occupant classification and position detection for in-vehicle environment. Borland C++ program is used to develop the novel algorithm interface between the sensor and data acquisition system. MEMS strain gauge hermatic pressure sensor containing micromachined integrated circuits is installed inside the passenger seat. The analog output of the sensor is connected with a connector to a PCI-9111 DG data acquisition card for occupancy detection, classification and position detection. The algorithm greatly improves the detection of whether an occupant is present or absent, and the classification of either adult, child or non-human object is determined from weights using the sensor. A simple computation algorithm provides the determination of the occupant's appropriate position using centroidal calculation. A real time operation is achieved with the system. The experimental results demonstrate that the performance of the implemented prototype is robust for occupant classification and position detection. This research may be applied in intelligent airbag design for efficient deployment. Copyright © 2006 KSAE.
Original languageEnglish
Pages (from-to)827-832
Number of pages743
JournalInternational Journal of Automotive Technology
Publication statusPublished - 01 Dec 2006
Externally publishedYes

Fingerprint

Security systems
sensor
Seats
Data acquisition
Sensors
data acquisition
Pressure sensors
Strain gages
MEMS
Integrated circuits
safety system
detection
hardware
gauge
Hardware
Testing

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

Hannan, M. A. ; Hussain, A. ; Samad, S. A. ; Mohamed, A. ; Wahab, D. A. ; Ariffin, A. K. / Development of occupant classification and position detection for intelligent safety system. In: International Journal of Automotive Technology. 2006 ; pp. 827-832.
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Development of occupant classification and position detection for intelligent safety system. / Hannan, M. A.; Hussain, A.; Samad, S. A.; Mohamed, A.; Wahab, D. A.; Ariffin, A. K.

In: International Journal of Automotive Technology, 01.12.2006, p. 827-832.

Research output: Contribution to journalArticle

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