AI Driven Sensors and Their Applications
A Special Issue of Technologies (ISSN 2227-7080).
Deadline for manuscript submissions: 30 October 2026 | Viewed by 1262
Editor
Special Issue Information
Dear Colleagues,
The rapid advancement in artificial intelligence is reshaping the form and function of sensors, evolving them from simple signal acquisition devices into intelligent perception and decision-making units.
AI-driven sensors not only collect environmental data in real time but also achieve a closed-loop process from “perception” to ‘understanding’ and ultimately to “prediction and decision-making” through embedded algorithms, large-model inference, and knowledge graph association. The core value of these sensors lies in three key capabilities: First, intelligent feature extraction and multimodal fusion, which enable complex signal recognition and correlation at the sensing endpoint. Second, edge computing and adaptive learning, which deliver rapid response and dynamic optimization near the data source. Third, evolutionary cognition, which continuously enhances perception and reasoning through ongoing learning and feedback. Thus, AI-driven sensors transcend mere data collection and transmission, possessing real-time processing, intelligent analysis, and autonomous decision-making capabilities. They serve as a core enabler in the intelligent transformation of industry and society.
In smart manufacturing, they empower precise process monitoring, rapid defect detection, and process optimization. In robotics, they enhance the reliability of environmental perception, human-machine interaction, and autonomous behavior. In healthcare, they support new paradigms for wearable diagnostics, remote rehabilitation, and precision treatment; in industrial design, they integrate with human-machine interaction technologies to advance product intelligence and user experience upgrades.
This Special Issue aims to gather cutting-edge research on AI-driven sensors and their applications across manufacturing engineering, robotics, healthcare, industrial design, and smart IoT, fostering deep integration between academic frontiers and industrial applications.
Dr. Jianxiong Zhu
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- human-computer interaction
- multimodal interaction
- adaptive interface
- interactive system design
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