Development of a wireless wearable electrooculogram recorder for IoT based applications

Abstract

Internet of things (IoT) has captured a promising market in industrial electronics. Considering the scenario, we introduce a wearable wireless electrooculogram (EOG) recorder for IoT-based industrial applications. This device has advantages over existing EOG recorders concerning its ease of wearing, portability and usability. The recording software is an Android app which makes it useful for a common man as well as many researchers working on eye-tracking based IoT applications. The system consists of Ag plated Cu electrodes for capturing the bio-potential near the canthus and the forehead. The analog EOG signal is pre-amplified using a signal conditioning circuit, comprising of an instrumentation amplifier, a bandpass filter and a differential amplifier. An embedded Wi-Fi module is used for transmission of data. The system has been compared with standard EOG recorders, and the results show it has comparable SNR and sampling rates with the existing recorders.