For many users the objective tracing of physical activity is of great importance. Via pattern recognition heterogeneous signals from sensors which are worn at the body can be processed and used to determine the type and duration of activity, periods of rest or sleep. With DiaTrace it is possible to recognise activity by simply wearing smartwatches or having a smartphone in the pocket.
Supported by new algorithms phases of activity and sleep can be differentiated, and activities, such as walking, running, jumping, going by bike or by car, can be detected. Currently Fraunhofer IGD develops algorithms for the recognition of unconsciousness or anomalies in activity. The objectively collected information on movements can be applied for example in the treatment of overweight or adiposity, for a better adjustment of diabetes patients to medication, in a change of lifestyle or in the identification of emergencies.
In the field of industrial production and maintenance, the analysis of wrist, hand, and arm vibrations allows conclusions about the usage and duration of applied working tools and in the future activity recognition will be useful to identify and distinguish between various working conditions to enable a new support during the performance of work.