Data Acquisition System and Pattern Image Generations for Hand Grip Device

Abstract

Grip pattern is essential to understand how an object being held in hand. One of the solutions is to use the pressure sensing glove to capture the gripping pressure distributed on the surface of the palm. The objective of this project is to develop a data acquisition system for a gripping device that can capture the grip patterns when a person is gripping an object. The design comprises of Velostat sheet, rows, and columns of conductive threads, that are sandwiched and layered to form a glove with pressure sensor grids. Arduino is used to generate the signals for data acquisition and interface with the MATLAB program through serial communication. On the MATLAB, the sensor data are organized and represented in hand pattern color image. Voltage Divider Rule (VDR) was used in an experiment with different resistor values and the effect of the image patterns were observed. Another experiment has been designed to find out the grip consistency. The results show that resistor values 330ohm can cause the image pattern create noises. Meanwhile, 4.7kohm resistance value is sufficient to eliminate most of the noises made in the pattern images. In this paper, different grip images can be obtained from different grip activities, such as holding toothbrush, lifting dumbbell, and pressing syringe. Future works can be done in resolution improvement and grip pattern recognition.

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“…Figure 14 shows the sensor glove developed from another robotics study [60]. The sensor glove provides force mapping with different colour regions for the researcher to interpret.…”

“…The force mapping system was adopted from a previous project [60]. This system is used to record contact area data and uses a pressure sensor matrix known as Velostat.…”

“…Therefore, the reliability of this estimate was deemed acceptable. This method of recording and presenting the data has been used in a previous project, and the validity of the data acquisition and grip patterns have been verified through various experimental activities [60]. Based on the 10 × 10 matrix shown in Figure 9, the force was summed together based on each zone.…”