Analysis of Sitting Posture Recognition using Pressure Sensors

Authors

  • Ahmad Zaki Hj Shukor RIA research group, CeRIA, FKE, Universiti Teknikal Malaysia Melaka, Malaysia
  • Nur Atiqa Natrah RIA research group, CeRIA, FKE, Universiti Teknikal Malaysia Melaka, Malaysia
  • Muhammad Amir Afiq RIA research group, CeRIA, FKE, Universiti Teknikal Malaysia Melaka, Malaysia
  • Muhammad Herman Jamaluddin RIA research group, CeRIA, FKE, Universiti Teknikal Malaysia Melaka, Malaysia
  • Zamre Abd Ghani RIA research group, CeRIA, FKE, Universiti Teknikal Malaysia Melaka, Malaysia
  • Hairol Nizam Mohd Shah RIA research group, CeRIA, FKE, Universiti Teknikal Malaysia Melaka, Malaysia
  • Mohd Zamzuri Ab Rashid RIA research group, CeRIA, FKE, Universiti Teknikal Malaysia Melaka, Malaysia

Keywords:

Sitting Posture, Force Sensitive Resistors, Hipseat, Backseat, Pressure Sensors,

Abstract

The sitting posture is one of the most common posture a human being performs. It is usual to see that most of the time, human sit down while doing their activities such as studying, desk work and meetings. Researchers study sitting postures by using sensors such as piezoelectric resistors, fiber optics or even gyroscopes. For our study, we utilize pressure force resistive sensors (FSR) to investigate the sitting posture of students in a lecture environment (classroom). At first we design setup of sensors for measuring pressure during sitting position using pressure sensors, then we analyze sitting posture of the students by using force sensitive resistor sensor and later we investigate the efficiency of the pressure sensing system. We used 11 FSR which is the significantly small amount of sensors at the hipseat and backseat to identify the eight different sitting the posture of the subject at 1 Hz frequency of measurement. Even though the weight of the subjects vary from 40 to 100 kg, the accuracy was acceptable at 90%. Additionally we performed experiments in actual running lecture sessions and later performed quiz to relate the sitting posture with the focus/concentration of students in the class.

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Published

2018-07-04

How to Cite

Hj Shukor, A. Z., Natrah, N. A., Afiq, M. A., Jamaluddin, M. H., Abd Ghani, Z., Mohd Shah, H. N., & Ab Rashid, M. Z. (2018). Analysis of Sitting Posture Recognition using Pressure Sensors. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-6), 53–57. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4369