The Tocsen system consists of a crash sensor which is mounted to the helmet of a cyclist and a smartphone app. The system analyses a crash and calls for help in case of an emergency. The 3-axis 200g accelerometer and the sensors in the smartphone can detect a severe impact on the head and a movement profile which is characteristic for crashes in the activity carried out. If the system detects a crash, an acoustic signal will sound and the app asks if everything is all right. If the user does not react, Tocsen will send an alarm to the personal emergency contacts, to all Tocsen members nearby and optionally to the rescue coordination centre. GPS location and crash information will be shared, so first responders and the rescue teams are able to find the victim on site of accident and be prepared for the situation they will encounter.

In 2020 DSLL designed, organised and carried out six month Living Lab trials of the Tocsen sensor and app E-GNSS support and incubation. A test group of 13 participants were asked to wear and use a Tocsen sensor and a GoPro camera during each cycle between July and November 2020, report onfalls, crashes, near falls/crashes and false alarms during these trials. The test group collectively created a unique data set of more than 160 cycling days amongst all the participants, during which they had been wearing the Tocsen sensor and testing it and their GoPro cameras and recording with them. Jointly, the Living Lab Trials participants recorded around 1500 videos or time lapses of mountain, city and road cycling.

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An early version of LLcloud (https://www.llcloud.eu/) multi-sensor cloud platform was used to gather all Tocsen sensor data, GoPro videos, Strava tracks, and mobile and smartphone sensor data and jointly analyse them. More than ten quite different falls and crashes were recorded and reported by participants during this trial period and analysed together with false alarms. Based on all these results, DSLL’s made recommendations how to improve the Tocsen sensor hardware, app, design, attachment, and performance. These Living Lab trials were preformed with partial E-GNSS project support.