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

Shufan Yang, KongFatt Wong-Lin, Ignacio Rano, Anthony Lindsay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
9 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Number of pages4
DOIs
Publication statusPublished - 26 Mar 2018
EventIntelligent Systems Conference (IntelliSys) 2017 - London, UK
Duration: 20 Jan 2017 → …

Conference

ConferenceIntelligent Systems Conference (IntelliSys) 2017
Period20/01/17 → …

Keywords

  • sensor-on-chip
  • data fusion
  • ZYNQ

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