The advantages of gathering health and fitness data are not limited to preventive measures. Real-time data can also provide instant added benefits to the user – in the form of AI-based personalized solutions, for example. Admittedly, the application comes with its own controversy and criticism: users worry about the privacy and security of their personal data. Yet the endless possibilities of smart wearables can be too tempting to resist.
BOSCH overcomes these prejudices and has developed the world's first self-learning AI sensor for wearables and hearables (ear-worn devices). The smart software is embedded in the sensor. It recognizes and immediately adapts to a multitude of repetitive movements. This allows users to teach their devices customized fitness activities - the data is stored locally on the device and cannot be accessed by third parties.
In a MEDICA.de interview, Kaustubh Gandhi from BOSCH Sensortec explains how the AI sensor works: "Once the user starts to some activity, the self-learning AI function inside the sensor tracks the data sensed and generated during user's activity and automatically matches this to previously self-learnt patterns, to identify the type of activity, without any need of manual instruction or intervention." Additional benefits of the sensor: the solution significantly reduces development time, cost, complexity, and power consumption.
The truth is that the applications of wearable technologies keep expanding, which makes them not just a consumer trend. From a medical perspective, the targeted application for injury prevention or health and fitness tracking presents a fascinating field of research - also in terms of how they might affect our future.