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

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


Kongfatt Wong-Lin

Inaki Rano

Anthony Lindsay


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)
Keywords System-on-chip, data fusion, ZYNQ
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