A Single Chip System for Sensor Data Fusion Based on a Drift-diffusion Model

Yang, S. , Wong-Lin, K., Rano, I. and Lindsay, A. (2018) A Single Chip System for Sensor Data Fusion Based on a Drift-diffusion Model. In: Intelligent Systems Conference (IntelliSys) 2017, London, UK, 7-8 Sept 2017, pp. 198-201. ISBN 9781509064359 (doi:10.1109/IntelliSys.2017.8324291)

147255.pdf - Accepted Version



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.

Item Type:Conference Proceedings
Additional Information:The work was supported by ASUR (1014-C4-Ph1-071).
Glasgow Author(s) Enlighten ID:Yang, Dr Shufan
Authors: Yang, S., Wong-Lin, K., Rano, I., and Lindsay, A.
College/School:College of Science and Engineering > School of Engineering
Published Online:26 March 2018
Copyright Holders:Copyright © 2017 IEEE
First Published:First published in Intelligent Systems Conference (IntelliSys) 2017: 198-201
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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