Analyse des Luftdruckeinflusses bei der Aktivitätserkennung

In the past, pedometers and pulse sensors were variously developed and became pretty optimized. Meanwhile, the monitoring of physical activity of the user in daily life becomes very important. Hereby the type of movement, the duration and intensity becomes a focus of research. According to the health improvement of sport activities, it is feasible to motivate everyone to perform a healthy lifestyle. Also it is useful to optimize the course of motion. Fraunhofer-Institute for Computer Graphics Rostock developed a motion sensor board using a microcontroller and a 3D acceleration sensor for data acquisition. The preprocessed data are sent via Bluetooth connection to a mobile phone. The software being installed on the mobile phone uses pattern recognition algorithm for activity monitoring and calculates activity type, intensity and energy consumption. Furthermore, the system is able to detect the actual type of motion, e.g. car driving, cycling, relaxing, jogging and taking a walk. This work describes the concept and the hardware design of a new version of the motion sensor board as well as the functional programming of the onboard microcontroller. The new motion sensor board implements a pressure sensor for relative changes of the height. Furthermore, a mass data storage on the motion sensor board was integrated, realized by implementing a SD/MMC card on the board. With this improvement of the motion sensor board, a stair climbing could be detected as new activity type. Further, the board can be used autarkic because it's not longer necessary for an additional use of a mobile phone as the storage device