Design of a wearable human-computer interaction system based on bioelectrical signal recognition technology

Abstract

sThe wearable human-computer interaction system based on biometric identification technology could bring a more natural and relaxed interactive experience. First of all, the cortical signal pickup and conditioning circuit are designed according to the characteristics of human bioelectric signals; Secondly, the characteristics of human behavior are identified by feature extraction algorithm; And then a wireless LAN is built by using Internet of things technology. Characteristic information through the wireless transmission agreement is passed to interactive control terminal to complete the control instruction transformation on the purpose of controlling the ups and downs of the floating ball in the interface; Last but not least, the signal picking, collection, wireless transmission and suspension games are verified. The experiment result shows that the acquisition of bioelectrical signals and feature extraction algorithm could meet the requirements of the system. The construction of this system provides an effective and feasible scheme for the application and expansion of wireless control and rehabilitation entertainment under the enviroment of the Internet of things.