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Flexible Neuromorphic Electronics for Wearable Near-Sensor and In-Sensor Computing Systems.

Hyowon Jang1, Jihwan Lee2, Chang-Jae Beak2

  • 1School of Electrical and Computer Engineering, Center for Smart Sensor System of Seoul (CS4), University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul, 02504, Republic of Korea.

Advanced Materials (Deerfield Beach, Fla.)
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Summary
This summary is machine-generated.

This review explores flexible bio-inspired cognitive systems for smart wearables. It details near- and in-sensor computing approaches, crucial for developing advanced artificial sensory neurons and central nervous synapses.

Keywords:
flexible synaptic devicein‐sensor computingnear‐sensor computingsensory neuronsmart wearable electronics

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Area of Science:

  • Neuromorphic Engineering
  • Bio-inspired Computing
  • Wearable Electronics

Background:

  • Flexible neuromorphic architectures mimic biological cognitive systems for advanced wearable electronics.
  • Integration of artificial sensory neurons and central nervous systems is key for neuro-inspired sensing and computing.
  • Current approaches include near-sensor computing (separate synaptic devices and sensors) and in-sensor computing (multifunctional devices).

Purpose of the Study:

  • To review research on flexible bio-inspired cognitive systems for smart wearable applications.
  • To cover fundamental aspects, components, structures, and applications of these systems.
  • To provide perspectives on future research directions in flexible neuromorphic electronics.

Main Methods:

  • Review of existing literature on flexible bio-inspired cognitive systems.
  • Classification of systems into near- and in-sensor computing paradigms.
  • Analysis of biological cognitive processes, required components, and system structures.

Main Results:

  • Flexible bio-inspired cognitive systems offer efficient data processing for wearables.
  • Development of artificial sensory neurons and central nervous synapses is critical.
  • High mechanical flexibility and integration density are essential for wearable applications.

Conclusions:

  • Flexible neuromorphic electronics are vital for next-generation Internet of Things (IoT) wearable systems.
  • Further research is needed to advance artificial sensory neurons and central nervous synapses for enhanced functionality.
  • Bio-inspired cognitive systems pave the way for more sophisticated and integrated smart wearable devices.