Open Access Open Access  Restricted Access Subscription Access

Methodology of Calibration of FSR Sensor for Seat Occupancy Detection in Vehicles


Affiliations
1 Mechanical Engineering Department, DIMER Research Group, Universidad del Atlántico, Barranquilla, Colombia
2 Mechanical Engineering Department, KAI Research Group, Universidad del Atlántico, Barranquilla, Colombia
3 Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlántico, Barranquilla, Colombia
 

Background/Objectives: The implementation of a methodology for the calibration of a force sensor, applied to a commercial-type FSR for a seat occupancy detection application in a vehicle. This methodology is basedon the use of an Arduino® board, to establish a direct conversion between the sensor output, and the measured variable, which in this case correspond to the force applied. Methods: With the study of the behavior of the sensor response when coupled with a conditioning circuit, and the following calibration of this, to program a direct conversion between the circuit output voltage and the force detected by the sensor. Findings: It was found that using the programming of the Arduino board, the force value given by the Arduino GUI, have a maximum deviation from the real ones of approximately 1%, which can be attributed to conversion issues, but for the application required, the system studied has a great potential to use. Application: To calibrate a FSR force sensor, using a circuit conformed by a conditioning signal system, the sensor and the transducer element between the sensor and the graphical interface on a PC.
User

  • CreusSole A. Instrumentacion Industrial. 8th Edition. Barcelona: Marcombo, S.A.; 1998.
  • Stewart C, Rohs M, Kratz S, Essl G. Characteristics of pressurebased input for mobile devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Atlanta, Georgia, USA; 2010. p. 801–10. Crossref.
  • Li N, Yang D, Jiang L, Liu H, Cai H. Combined Use of FSR Sensor Array and SVM Classifier for Finger Motion Recognition Based on Pressure Distribution Map, Journal of Bionic Engineering. 2012; 9(1):39–47. Crossref.
  • Passault G, Rouxel Q, Hofer L, Guyen SN, Ly O. Low-cost force sensors for small size humanoid robot. IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids); 2015. p. 1148. Crossref.
  • Bi S, Min H, Zhuang Z, Huang Q, Mo H, Zhou Y, Li S. Walking control method of humanoid robot based on FSR sensors and inverted pendulum model. Conference Towards Autonomous Robotic Systems; 2012. p. 402–13. PMid: 23135114.
  • Koehly R, Curtil D, Wanderley MM. Paper FSRs and latex/ fabric traction sensors: Methods for the development of home-made touch sensors. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME06). Paris, France; 2006. p. 1–4.
  • Argall BD, Billard AG. A survey of Tactile Human-Robot Interactions, Robotics and Autonomous Systems. 2010; 58(10):1159–76. Crossref.
  • Schmidt PA, Mael E, Wurtz RP. A sensor for dynamic tactile information with applications in human-robot interaction and object exploration, Robotics and Autonomous Systems. 2006; 54(12):1005–14. Crossref.
  • Ma C, Li W, Cao J, Wang S, Wu L. A Fatigue Detect System Based on Activity Recognition. International Conference on Internet and Distributed Computing Systems; 2014. p.303–11. Crossref.
  • Lebosse C, Renaud P, Bayle B, De Mathelin M. Modeling and evaluation of low-cost force sensors, IEEE Transactions on Robotics. 2011; 27(4):815–22. Crossref.
  • Florez JA, Velasquez A. Calibration of Force Sensing Resistors (FSR) for static and dynamic applications. In: IEEE ANDESCON; 2010. p. 1–6.
  • Figliola R, Beasley D. Theory and design for mechanical measurements. 4th Edition. New York; Chichester: Wiley; 2006. p. 1–542.
  • Interlink Electronics. FSR® Integration Guide; Evaluation Parts Catalog with Suggested Electrical Interfaces; 2006. p. 1–26.
  • Sadiku MN, Alexander CK. Fundamentos de circuitoseléctricos. 5th Edition. México D.F.: McGraw-Hill; 2013. p. 1–1051.

Abstract Views: 130

PDF Views: 0




  • Methodology of Calibration of FSR Sensor for Seat Occupancy Detection in Vehicles

Abstract Views: 130  |  PDF Views: 0

Authors

Jorge Duarte Forero
Mechanical Engineering Department, DIMER Research Group, Universidad del Atlántico, Barranquilla, Colombia
Guillermo E. Valencia
Mechanical Engineering Department, KAI Research Group, Universidad del Atlántico, Barranquilla, Colombia
Luis G. Obregon
Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlántico, Barranquilla, Colombia

Abstract


Background/Objectives: The implementation of a methodology for the calibration of a force sensor, applied to a commercial-type FSR for a seat occupancy detection application in a vehicle. This methodology is basedon the use of an Arduino® board, to establish a direct conversion between the sensor output, and the measured variable, which in this case correspond to the force applied. Methods: With the study of the behavior of the sensor response when coupled with a conditioning circuit, and the following calibration of this, to program a direct conversion between the circuit output voltage and the force detected by the sensor. Findings: It was found that using the programming of the Arduino board, the force value given by the Arduino GUI, have a maximum deviation from the real ones of approximately 1%, which can be attributed to conversion issues, but for the application required, the system studied has a great potential to use. Application: To calibrate a FSR force sensor, using a circuit conformed by a conditioning signal system, the sensor and the transducer element between the sensor and the graphical interface on a PC.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i23%2F126554