HONG Hui, WANG Xiaoyu, ZHU Zhengfei, MA Qian, GUAN Nan, ZHENG Nenggan. An HSR Data Model for Cyborg Insect Research Experiments[J]. Chinese Journal of Electronics, 2018, 27(4): 680-686. doi: 10.1049/cje.2017.08.010
Citation: HONG Hui, WANG Xiaoyu, ZHU Zhengfei, MA Qian, GUAN Nan, ZHENG Nenggan. An HSR Data Model for Cyborg Insect Research Experiments[J]. Chinese Journal of Electronics, 2018, 27(4): 680-686. doi: 10.1049/cje.2017.08.010

An HSR Data Model for Cyborg Insect Research Experiments

doi: 10.1049/cje.2017.08.010
Funds:  This work is supported by the Zhejiang Provincial Natural Science Foundation (No.LZ14F020002) and the National Natural Science Foundation of China (No.61572433, No.61107025).
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  • Corresponding author: ZHENG Nenggan (corresponding author) received the B.S. degree in biomedical engineering from Zhejiang University, Hangzhou, China, in 2002, and the Ph.D. degree from the College of Computer Science and Technology, Zhejiang University, in 2009. He is currently an associate professor in computer science with the Academy for Advanced Studies, Zhejiang University. His current research interests include artificial intelligence, embedded systems, and braincomputer interface. (Email:zng@cs.zju.edu.cn)
  • Received Date: 2016-12-22
  • Rev Recd Date: 2017-05-15
  • Publish Date: 2018-07-10
  • Research on cyborg intelligent insects requires the experiment platform to collect data from the distributed sensing models and process the multi-modal signals in real-time. To overcome these issues, we present a novel data model, naming as the Hybrid-synchronizedrealtime (HSR) data model, which can synchronize the hybrid raw data channels by a meta data integration method and process them with a fixed priority scheduling algorithm. Real animal experiments show that the insect-machine experiment platform based on the HSR data model can fully satisfy the requirements of cyborg intelligent insect research, especially in dealing with the technical challenges of data synchronization, real-time processing and hybrid data integration. It provides an efficient approach to implement the experiment platform and thus aid the frontier research on cyborg insects.
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