Abstract
Current multisensory system face data communication overhead in integrating disparate sensor data to build a coherent and accurate global phenomenon. We present here a novel hardware and software co-design platform for a heterogeneous data fusion solution based on a perceptual decision making approach (the drift-diffusion model). It provides a convenient infrastructure for sensor data acquisition and data integration and only uses a single chip Xilinx ZYNQ-7000 XC7Z020 AP SOC. A case study of controlling the moving speed of a single ground-based robot, according to physiological states of the operator based on heart rates, is conducted and demonstrates the possibility of integrated sensor data fusion architecture. The results of our DDM-based data integration shows a better correlation coefficient with the raw ECG signal compare with a simply piecewise approach.
Original language | English |
---|---|
Title of host publication | Unknown Host Publication |
Publisher | IEEE |
Number of pages | 4 |
DOIs | |
Publication status | Published (in print/issue) - 26 Mar 2018 |
Event | Intelligent Systems Conference (IntelliSys) 2017 - London, UK Duration: 20 Jan 2017 → … |
Conference
Conference | Intelligent Systems Conference (IntelliSys) 2017 |
---|---|
Period | 20/01/17 → … |
Keywords
- sensor-on-chip
- data fusion
- ZYNQ