# Artificial Intelligence-Enhanced Flexible Sensors for Human Motion and Posture Sensing

## TL;DR

This paper reviews how AI improves flexible sensors for tracking human movement and posture, with applications in healthcare, sports, and human-computer interaction.

## Contribution

The paper provides a comprehensive review of AI-enhanced flexible sensors for human motion and posture sensing, highlighting recent advancements and future directions.

## Key findings

- AI algorithms improve the accuracy and adaptability of flexible sensors for posture and motion recognition.
- Applications include healthcare rehabilitation, sports performance, and intuitive human-computer interaction.
- Challenges include sensor reliability, data privacy, and power management.

## Abstract

In the era of Industry 4.0, artificial intelligence technology is experiencing rapid development, and the integration of artificial intelligence (AI) with flexible sensors has emerged as a transformative approach for human motion and posture sensing. This paper explores the advancements in AI-enhanced flexible sensors, focusing on the application of flexible sensors on various parts of the human body. Flexible sensors, due to their conformability and sensitivity, are ideal for capturing the dynamic and subtle movements of the human body. AI algorithms, particularly machine learning and deep learning techniques are employed to process the complex data streams from these sensors, enabling the accurate recognition and prediction of various human postures and motions. The combination of these technologies overcomes the limitations of traditional sensing systems, offering higher precision, adaptability, and real-time feedback. It can be applied to healthcare for rehabilitation monitoring, sports for performance enhancement, and human–computer interaction for intuitive control. This review also discusses the challenges such as sensor reliability, data privacy, and power management. The future outlook emphasizes more sophisticated AI models and deeper technology integration, promising a seamless integration into everyday life for enhanced human–machine interaction and health monitoring.