Analysis and Development of an Automatic eCal1 Algorithm for Wearable Devices

This paper presents an innovative application for the online activation of emergency calls (eCalls) using wearable sensors installed on an instrumented jacket. Such a device allows one to actively monitor the activities performed by the user and to detect possible hazards that lead to loss of consciousness, thus activating the eCall. To do this, a detailed analysis of the measured sensors is carried out, that results to the automatic classification of the human motion. Secondly, the detection of a fall is performed and, in particular, an event associated with a consequent loss of consciousness is monitored and detected. The performance of the proposed approach are analyzed and tested on experimental data collected from several stuntmen simulating different types of falls, and favorably witness the effectiveness of the approach.