Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Area of Science:

• Neuromorphic Engineering
• Bioinspired Computing
• Sensory Systems

Background:

• The human perception system utilizes sensory adaptation to filter non-essential stimuli, minimizing data transmission and energy consumption.
• This adaptive filtering is crucial for efficient processing of vast sensory information.
• Replicating sensory adaptation in electronic devices is key for next-generation intelligent systems.

Purpose of the Study:

• To systematically review recent advancements in bioinspired adaptive device engineering.
• To highlight the applications of these adaptive sensors in electronic skins, wearable electronics, and machine vision.
• To discuss current challenges and future directions in neuromorphic sensing systems.

Main Methods:

• Review of recent progress in bioinspired adaptive device engineering.
• Examination of emerging neuromorphic electronic elements (piezoelectric, triboelectric sensors, memristive devices, neuromorphic transistors).
• Analysis of biological sensory adaptation mechanisms.

Main Results:

• Significant progress has been made in developing bioinspired adaptive sensors.
• These sensors leverage novel electronic components and a deeper understanding of biological adaptation.
• Key applications are emerging in electronic skins, wearable technology, and machine vision.

Conclusions:

• Bioinspired adaptive sensors show great promise for intelligent perception platforms.
• Further research is needed to optimize device performance, develop multimodal adaptive sensors, and improve system-level integration.
• Overcoming these challenges will enable the development of high-performance neuromorphic sensing systems.