Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems.

Area of Science:

• Materials Science
• Electrical Engineering
• Computer Science

Background:

• The proliferation of the Internet of Things (IoT) drives demand for advanced wearable smart systems.
• Wearable devices require flexibility, biocompatibility, and efficient data processing to manage sensor data and communication delays.
• Emerging near-sensor and in-sensor computing paradigms offer solutions for intelligent, low-power wearable electronics.

Purpose of the Study:

• To review the research status of flexible five-sense sensing systems.
• To explore near-sensor and in-sensor computing architectures for wearable devices.
• To identify challenges and future applications in intelligent wearable technology.

Main Methods:

• Review of material design strategies for flexible sensors.
• Analysis of structural design principles for wearable systems.
• Examination of circuit design innovations for in-sensor and near-sensor computing.

Main Results:

• Flexible five-sense sensing systems are advancing through integrated material, structural, and circuit design.
• Near-sensor and in-sensor computing architectures are crucial for overcoming data redundancy and communication latency.
• Neuromorphic devices show promise for low-power, intelligent wearable applications.

Conclusions:

• Flexible, intelligent wearable systems are feasible with advanced computing paradigms.
• Addressing material, structural, and circuit design challenges is key to realizing their potential.
• These systems offer significant opportunities for future intelligent wearable device applications.