Real time data acquisition system for activity recognition using motion and physiological sensors

In this paper we present the implementation of an activity recognition system based on a data acquisition system with sensors for acceleration and physiological parameters. In order to recognize more complex activities we need data acquisition from multiple sensors. Based on our previous experience gained in designing acquisition systems for activity recognition, we have designed and developed a system with three sensors. We developed two possible configurations: one using three acceleration sensors, and one with two acceleration sensors and one heart rate sensor. In the experimental phase we found that the third accelerometer that we've placed on the waist does not provide relevant data to improve the rate of recognition significantly. Thus we opted for the second option, considering that the integration of a physiological sensor provides additional information regarding activities, health status and detecting abnormal states. Starting from the experimental phase, we designed and developed a module integrating the three sensors, with additional functionalities such as an SD card to store the acquired data, and a Bluetooth module for connect to portable devices. In addition, we have integrated a RTC (Real Time Clock) module in order to add time label