A Single Chip System for Sensor Data Fusion Based on a Drift-diffusion Model
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.Citation
Intelligent Systems Conference (IntelliSys) 2017, London, UK. IEEE. 4 pp.Publisher
IEEEAdditional Links
http://saiconference.com/IntelliSys2017Type
Conference contributionLanguage
enISBN
9781509064359ae974a485f413a2113503eed53cd6c53
10.1109/IntelliSys.2017.8324291
Scopus Count
The following licence applies to the copyright and re-use of this item:
- Creative Commons
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/