Multi-Sensor Glove Design and Bio-Signal Data Collection

Year 2021, Volume: 3 Issue: Special Issue: Full Papers of 2nd International Congress of Updates in Biomedical Engineering, 87 - 93, 13.01.2021

Ahmet Çağdaş Seçkin

Abstract

In many fields such as biomedical, robotics, mobile devices, multi-sensor systems are used to solve problems that have low performance when performed with a single sensor. These systems are used in many applications like pedometers, emotion recognition and navigation. In this paper a multi-sensor glove system is proposed to measure stress and effort parameters of a person. The multi-system includes sensors for galvanic skin response (GSR), oximeter and inertial measurement unit (IMU). The GSR sensor simply measures the electrical conductivity of the skin, which increases when sweating due to the salt in the sweat. The GSR sensor is placed on the glove with the index finger. The oximeter sensor is used to measure the heart rate and blood oxygen saturation. It is an infrared sensor and measures the reflecting infrared light from the blood cells. The heart rate sensor is used to detect both effort and stress levels based on the heart pulse rate. The IMU is a ready-to-use multi-sensor sensor that includes a gyroscope and an accelerometer. In this study an IMU sensor with 6 degrees of freedom was used to measure acceleration and angular rotation values generated by hand movements. All these sensors are connected to a microcontroller. Due to the lowest sampling rate of the multi-sesnor system, the IMU sensor, includes the entire system configured for measurement at 100Hz. These measurements are combined on the microcontroller and sent to the computer via Bluetooth. The computer program stores the incoming data and visualizes the individual channels simultaneously. Measurements were taken during standing, walking, climbing and jumping activities performed by wearing a multi-sensor glove. It has been observed that measurements can be taken successfully from all sensors on the system.

Keywords

Multi-Sensor, Signal Collection, Glove

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