A single chip system for sensor data fusion based on a Drift-diffusion model

Yang, Shufan; Wong-Lin, Kongfatt; Rano, Inaki; Lindsay, Anthony

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.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 2017 Intelligent Systems Conference (IntelliSys)
• Start Date: Sep 7, 2017
• End Date: Sep 8, 2017
• Online Publication Date: Mar 26, 2018
• Publication Date: 2018
• Deposit Date: Mar 12, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2017 Intelligent Systems Conference (IntelliSys)
• DOI: https://doi.org/10.1109/intellisys.2017.8324291
• Keywords: System-on-chip, data fusion, ZYNQ
• Public URL: http://researchrepository.napier.ac.uk/Output/2752541