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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
Yang, Shufan
Wong-Lin, Kongfatt
Rano, Inaki
Lindsay, Anthony
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2017-09-07
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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.
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Intelligent Systems Conference (IntelliSys) 2017, London, UK. IEEE. 4 pp.
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en
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9781509064359