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

Yang, Shufan, Wong-Lin, KongFatt, Rano, Ignacio and Lindsay, Anthony (2017) A single chip system for sensor data fusion based on a drift-diffusion model. In: Intelligent Systems Conference (IntelliSys) 2017, London, UK. IEEE. 4 pp. [Conference contribution]

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URL: http://saiconference.com/IntelliSys2017

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.

Item Type:Conference contribution (Paper)
Keywords:sensor-on-chip, data fusion, ZYNQ
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:36956
Deposited By: Dr Kongfatt Wong-Lin
Deposited On:23 Feb 2017 11:37
Last Modified:17 Oct 2017 16:27

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