Fpga implementation of sensor data acquisition for real-time human body motion measurement system

In most sensor-based human body motion measurement systems, microcontroller and general-purpose unit are used to acquire and process the sensor data. These processing devices, however, have some limitation in obtaining data in parallel especially from various sensors. This paper focuses the discussion on the use of FPGA as a processing device to acquire real-time sensor data from various sensors concurrently. The architecture of real-time sensor data acquisition is proposed utilizing parallelism features of an FPGA. The architecture is also designed to stream the sensor data from FPGA to the host. This paper also investigates the performance of FPGA of the proposed architecture in terms of FPGA usage resources and speed for various optimisation techniques. The implementation results concluded that the synthesis optimisation technique contributed to the FPGA overall performance. In addition, the experimental findings show promising results to implement a state-of-the-art of the FPGA-based human body motion measurement system.