A Method of A Behavior Suggestion System using ECG Monitor and Accelerometer

Abstract

In recent years, the wearable computing equipped with several sensors built into a small microcomputer has been attracting people’s attention, and various information and data are acquired from people. In this paper, a novel behavior suggestion system using a small microcomputer connected with an ECG (Electrocardiograph) monitor and an accelerometer is proposed.

In this system, the small microcomputer is connected with the server machine via wireless network. This server machine can assess a person’s heart rate, the status of autonomic nervous system, a person’s location information, and a person’s activity. In this way, the system for a person’s behavior suggestion is realized. And, optimized information for behavior suggestion is generated on some scenario base from several threshold values, and this useful information is presented to a user.

In order to evaluate the effectiveness of this system, first, basic experiments was performed to acquire the finding of optimal parameters. Then, suggestion experiments were performed using this system. These results confirmed that this system proposes useful information by experiments of two scenarios.

In this paper, the system architecture, its mechanism, and several experiments to confirm its efficacy are shown. Several possible improvements of this system in the future are also shown.