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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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A 0.9-V human body communication receiver using a dummy electrode and clock phase inversion scheme

  • Oh, Kwang-Il (AI SoC Research Division, Electronics and Telecommunications Research Institute) ;
  • Kim, Sung-Eun (AI SoC Research Division, Electronics and Telecommunications Research Institute) ;
  • Kang, Taewook (AI SoC Research Division, Electronics and Telecommunications Research Institute) ;
  • Kim, Hyuk (AI SoC Research Division, Electronics and Telecommunications Research Institute) ;
  • Lim, In-Gi (AI SoC Research Division, Electronics and Telecommunications Research Institute) ;
  • Park, Mi-Jeong (AI SoC Research Division, Electronics and Telecommunications Research Institute) ;
  • Lee, Jae-Jin (AI SoC Research Division, Electronics and Telecommunications Research Institute) ;
  • Park, Hyung-Il (AI SoC Research Division, Electronics and Telecommunications Research Institute)
  • Received : 2022.03.18
  • Accepted : 2022.08.22
  • Published : 2022.10.10
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Abstract

This paper presents a low-power and lightweight human body communication (HBC) receiver with an embedded dummy electrode for improved signal acquisition. The clock data recovery (CDR) circuit in the receiver operates with a low supply voltage and utilizes a clock phase inversion scheme. The receiver is equipped with a main electrode and dummy electrode that strengthen the capacitive-coupled signal at the receiver frontend. The receiver CDR circuit exploits a clock inversion scheme to allow 0.9-V operation while achieving a shorter lock time than at 3.3-V operation. In experiments, a receiver chip fabricated using 130-nm complementary metal-oxide-semiconductor technology was demonstrated to successfully receive the transmitted signal when the transmitter and receiver are placed separately on each hand of the user while consuming only 4.98 mW at a 0.9-V supply voltage.

Keywords

Acknowledgement

This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (no. 2020-0-01294, Development of IoT Based Edge Computing Ultra-low Power Artificial Intelligent Processor).

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